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Genetic algorithm

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Full-Text Articles in Physical Sciences and Mathematics

Research On Artificial Population Generation And Application Based On Genetic Algorithm, Hongli Zhang, Jingshuang Deng Sep 2023

Research On Artificial Population Generation And Application Based On Genetic Algorithm, Hongli Zhang, Jingshuang Deng

Journal of System Simulation

Abstract: High-precision micro-population data are one of the key basic data for simulation systems such as disease spread, traffic travel, and emergency events. In reality, computer-generated artificial populations are often used for simulation. Due to computational efficiency and standardization of generation steps, the iterative proportional fitting method is currently used for artificial population synthesis. However, it has strict requirements on basic data and faces zero-unit and data representational deviation problems, and it fails to guarantee the fitting at the individual and family levels at the same time. In order to overcome this deficiency, an improved genetic algorithm using a simulated …

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Task Offloading And Resource Allocation Based On Dl-Ga In Mobile Edge Computing, Hang Gu, Minjuan Zhang, Wenzao Li, Yuwen Pan May 2023

Task Offloading And Resource Allocation Based On Dl-Ga In Mobile Edge Computing, Hang Gu, Minjuan Zhang, Wenzao Li, Yuwen Pan

Turkish Journal of Electrical Engineering and Computer Sciences

With the rapid development of 5G and the Internet of Things (IoT), the traditional cloud computing architecture struggle to support the booming computation-intensive and latency-sensitive applications. Mobile edge computing (MEC) has emerged as a solution which enables abundant IoT tasks to be offloaded to edge services. However, task offloading and resource allocation remain challenges in MEC framework. In this paper, we add the total number of offloaded tasks to the optimization objective and apply algorithm called Deep Learning Trained by Genetic Algorithm (DL-GA) to maximize the value function, which is defined as a weighted sum of energy consumption, latency, and …

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Research On Intelligent Optimization Method Of Combat Sos Based On Gabc Algorithm, Hucheng Zhang, Jingyu Yang Jan 2023

Research On Intelligent Optimization Method Of Combat Sos Based On Gabc Algorithm, Hucheng Zhang, Jingyu Yang

Journal of System Simulation

Abstract: In order to solve the problem that exploratory simulation can not traverse the solution space quickly, and provide the auxiliary decision-making scheme in real time, a genetic algorithm based on classifier is proposed. The framework of simulation optimization method based on the algorithm is established. It can find the optimal solution according to the dynamic changes of key factors and decision targets of the system, which is suitable for such as seeking the best efficiency-cost ratio scheme and the optimization of the optimal power deployment and other systems. Based on the simulation bed system of the National Defense …

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Genetic Algorithm For Solving A Just-In-Time Inventory Model With Imperfect Rework Implemented In A Serial Multi-Echelon System, Hsien-Chung Tsao, Cheng-Chi Chung, Hsuan-Shih Lee, Chih-Ping Lin, Yan-Yun Tu, Ssu-Chi Lin Jan 2023

Genetic Algorithm For Solving A Just-In-Time Inventory Model With Imperfect Rework Implemented In A Serial Multi-Echelon System, Hsien-Chung Tsao, Cheng-Chi Chung, Hsuan-Shih Lee, Chih-Ping Lin, Yan-Yun Tu, Ssu-Chi Lin

Journal of Marine Science and Technology

As global industrial competition intensifies, enterprises can achieve substantial competitive advantages in the supply chain management environment by promptly meeting customer demands and efficiently reducing both supply and demand costs. This paper proposes an inventory model for supply chain optimization that considers uncertain delivery lead times and defective products. Solving the model requires solving a nonlinear mixed-integer problem, which traditionally requires considerable time. Solutions to nondeterministic polynomial-time hard problems with high complexity and difficulty are often obtained using heuristic algorithms. Among these algorithms, genetic algorithms have high efficiency and quality. Therefore, we employed a genetic algorithm to solve the proposed …

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Image Center Layout Optimization Method Based On Improved Genetic Algorithm, Zhijie Li, Haoqi Shi, Changhua Li, Jie Zhang Jun 2022

Image Center Layout Optimization Method Based On Improved Genetic Algorithm, Zhijie Li, Haoqi Shi, Changhua Li, Jie Zhang

Journal of System Simulation

Abstract: Aiming at the layout optimization methods of image center being influenced by the subjective factors and low level of automation, a method of combining systematic layout planning(SLP) with the improved genetic algorithm is proposed. The layout scheme generated by SLP improves the initial population of the genetic algorithm and increases the diversity of the initial population. In order to improve the efficiency of optimization, the improved algorithm updates the crossover probability and mutation probability adaptively according to the evolution stages and the fitness value of the individuals. On the basis of the layout area model and multi-objective optimization mathematical …

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Order Sorting Optimization For Four-Way Shuttle System Based On Improved Genetic Algorithm, Xinjie He, Shaowu Zhou, Hongqiang Zhang, Lianghong Wu, Zhou You Sep 2021

Order Sorting Optimization For Four-Way Shuttle System Based On Improved Genetic Algorithm, Xinjie He, Shaowu Zhou, Hongqiang Zhang, Lianghong Wu, Zhou You

Journal of System Simulation

Abstract: During the batch outbound operations of the four-way shuttle system, the different execution order of the system's outbound leads to the different interaction time between the four-way shuttle and the hoist will be different, which will affect the system's outbound operation time. According to the operation process of batch outbound, with the order of batch order outflow as the variable and the system outflow time as the objective function, a system order sort optimization model i established. Based to the characteristics of the model, with the improved genetic algorithm, the optimal order of the system is obtained. By changing …

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An Intelligent Method For Rapid Construction Of Time Sensitive Target Strike Chain, Jiabo Lu, Peixing Cheng, Huang Yi, Jinqiang Yao, Xuemeng Yang, Xinqiang Ma, Liu Yong Feb 2021

An Intelligent Method For Rapid Construction Of Time Sensitive Target Strike Chain, Jiabo Lu, Peixing Cheng, Huang Yi, Jinqiang Yao, Xuemeng Yang, Xinqiang Ma, Liu Yong

Journal of System Simulation

Abstract: In order to improve the construction efficiency of the time sensitive hit chain, optimize the resource allocation in combat, and realize an intelligent method for quickly constructing the time-sensitive strike chain, the simulated annealing algorithm and genetic algorithm are adopted to build a time sensitive hit chain. Simulation experiments show that the method can complete the time sensitive target strike priority sorting, sensor platform-target pairing and weapon platform-target pairing in a short time, and destroy the target within the target time window. The proposed method optimizes the application of sensors and weapons, compensates for the limitations of constructing time-sensitive …

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Research On Intelligent Design And Simulation Method Of Screw Machine Process, Guodong Sun, Qichang He Jan 2021

Research On Intelligent Design And Simulation Method Of Screw Machine Process, Guodong Sun, Qichang He

Journal of System Simulation

Abstract: Aiming at the difficulty during the process design of the automatic screw machines, such as low efficiency and poor quality, a screw machine process design and verification system is developed. Supported by image recognition technology, the system would automatically obtain the quantity and the locations of the screwing holes from the top view. An optimization model will be established to optimize the tightening sequence of the screw according to RSA (Radar Spiral Algorithm) and improved genetic algorithm. An integration is conducted into Tecnomatix to simulate those optimized sequence in case of collision. The results indicate that the …

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Cpm-Ga For Multi-Satellite And Multi-Task Simulation Scheduling, Liheng Mao, Deng Qing, Rouni Liu, Xianglong Kong Jan 2021

Cpm-Ga For Multi-Satellite And Multi-Task Simulation Scheduling, Liheng Mao, Deng Qing, Rouni Liu, Xianglong Kong

Journal of System Simulation

Abstract: With the increase of the number of satellites and targets, the space for solving satellite task planning increases rapidly. For large-scale multi-satellite and multi-task planning, a hierarchical optimization method, which consists of Critical Path Method (CPM) and Genetic Algorithm (GA) is proposed. The method decomposes the satellite task planning into two subproblems: task allocation and single-satellite task processing. Task allocation is realized by GA and a task allocation result corresponds to an individual of the population. The CPM is used in the single-satellite task processing to solve the fitness of each individual, which improves the optimization efficiency, ensures the …

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A New Hybrid Genetic Algorithm For Protein Structure Prediction On The 2dtriangular Lattice, Bouroubi Sadek, Nabil Boumedine Jan 2021

A New Hybrid Genetic Algorithm For Protein Structure Prediction On The 2dtriangular Lattice, Bouroubi Sadek, Nabil Boumedine

Turkish Journal of Electrical Engineering and Computer Sciences

The flawless functioning of the protein is essentially related to its three-dimensional structure. Therefore,predicting protein structure from its amino acid sequence is a fundamental problem that draws researchers' attentionin many areas. The protein structure prediction problem (PSP) can be formulated as a combinatorial optimization problem based on simplified lattice models such as the hydrophobic-polar model. In this paper, we propose a new hybridalgorithm that combines three different known heuristic algorithms: the genetic algorithm, the tabu search strategy,and the local search algorithm to solve the PSP problem. Regarding the evaluation of the proposed approach, wepresent an experimental study, where we consider …

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Analysis Of Shielding Effectiveness By Optimizing Aperture Dimensions Of Arectangular Enclosure With Genetic Algorithm, Sunay Güler, Si̇bel Yeni̇kaya Jan 2021

Analysis Of Shielding Effectiveness By Optimizing Aperture Dimensions Of Arectangular Enclosure With Genetic Algorithm, Sunay Güler, Si̇bel Yeni̇kaya

Turkish Journal of Electrical Engineering and Computer Sciences

Electromagnetic compatibility (EMC) has now become a substantial challenge more than any other time sincethe number of electric vehicles (EV) increased rapidly. The electric driving system in an EV consists of power electroniccomponents supplied by high voltage battery source. They are both source and victim of potential electromagneticinterference (EMI) since fast switching process occurs inside them. Electromagnetic shielding provides a significantprotection against EMI for any electrical and electronic components inside the vehicle. In this paper, analysis of shieldingeffectiveness (SE) by optimizing aperture dimensions of a rectangular enclosure is investigated. Realistic dimensions of theshielding enclosure of an inverter component are employed. …

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Adaptation Of Metaheuristic Algorithms To Improve Training Performance Of Aneszsl Model, Şi̇fa Özsari, Mehmet Serdar Güzel, Gazi̇ Erkan Bostanci, Ayhan Aydin Jan 2021

Adaptation Of Metaheuristic Algorithms To Improve Training Performance Of Aneszsl Model, Şi̇fa Özsari, Mehmet Serdar Güzel, Gazi̇ Erkan Bostanci, Ayhan Aydin

Turkish Journal of Electrical Engineering and Computer Sciences

Zero-shot learning (ZSL) is a recent promising learning approach that is similar to human vision systems. ZSL essentially allows machines to categorize objects without requiring labeled training data. In principle, ZSL proposes a novel recognition model by specifying merely the attributes of the category. Recently, several sophisticated approaches have been introduced to address the challenges regarding this problem. Embarrassingly simple approach to zeroshot learning (ESZSL) is one of the critical of those approaches that basically proposes a simple but efficient linear code solution. However, the performance of the ESZSL model mainly depends on parameter selection. Metaheuristic algorithms are considered as …

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Information Retrieval-Based Bug Localization Approach With Adaptive Attributeweighting, Mustafa Erşahi̇n, Semi̇h Utku, Deni̇z Kilinç, Buket Erşahi̇n Jan 2021

Information Retrieval-Based Bug Localization Approach With Adaptive Attributeweighting, Mustafa Erşahi̇n, Semi̇h Utku, Deni̇z Kilinç, Buket Erşahi̇n

Turkish Journal of Electrical Engineering and Computer Sciences

Software quality assurance is one of the crucial factors for the success of software projects. Bug fixing has an essential role in software quality assurance, and bug localization (BL) is the first step of this process. BL is difficult and time-consuming since the developers should understand the flow, coding structure, and the logic of the program. Information retrieval-based bug localization (IRBL) uses the information of bug reports and source code to locate the section of code in which the bug occurs. It is difficult to apply other tools because of the diversity of software development languages, design patterns, and development …

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Gene Expression Data Classification Using Genetic Algorithm-Basedfeature Selection, Öznur Si̇nem Sönmez, Mustafa Dağteki̇n, Tolga Ensari̇ Jan 2021

Gene Expression Data Classification Using Genetic Algorithm-Basedfeature Selection, Öznur Si̇nem Sönmez, Mustafa Dağteki̇n, Tolga Ensari̇

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, hybrid methods are proposed for feature selection and classification of gene expression datasets. In the proposed genetic algorithm/support vector machine (GA-SVM) and genetic algorithm/k nearest neighbor (GA-KNN) hybrid methods, genetic algorithm is improved using Pearson's correlation coefficient, Relief-F, or mutual information. Crossover and selection operations of the genetic algorithm are specialized. Eight different gene expression datasets are used for classification process. The classification performances of the proposed methods are compared with the traditional GA-KNN and GA-SVM wrapper methods and other studies in the literature. Classification results demonstrate that higher accuracy rates are obtained with the proposed methods …

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Research On Fuzzy Control And Optimization For Traffic Lights At Single Intersection, Jiajia Liu, Xingquan Zuo Dec 2020

Research On Fuzzy Control And Optimization For Traffic Lights At Single Intersection, Jiajia Liu, Xingquan Zuo

Journal of System Simulation

Abstract: Aiming at the traffic signal control at urban single intersection,a fuzzy control method for traffic lights is presented.The method is based on a four-phase phasing sequence to control the traffic lights at a single intersection.Inputs of the fuzzy controller are the number of vehicles in line and the arrival rate of vehicles,and the output is the green light extension time of the current green light phase.A genetic algorithm (GA) is used to optimize fuzzy rules and membership functions of the fuzzy control system to improve the performance of the fuzzy controller.The fuzzy control method is realized by using …

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Research On A Novel Biogeography-Based Optimization Algorithm Based On Ga, Wang Ning, Lisheng Wei Sep 2020

Research On A Novel Biogeography-Based Optimization Algorithm Based On Ga, Wang Ning, Lisheng Wei

Journal of System Simulation

Abstract: In order to further improve the optimization ability of biogeography-based optimization algorithm, a new genetic algorithm is proposed. The selection operation is added before the migration operation, and the migration individual is selected by the method of "roulette", so that the individuals with higher fitness can be preferentially migrated. The mutation operation combines the genetic gaussian mutation method, and the optimization performance of the algorithm is improved. The convergence condition of the method is derived in theory. Five test functions are used in the experiments, and the results prove that the ameliorated algorithm is better at the results of …

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Operation Loss Reduction Control For Large-Scale Wind Farm Based On Hybrid Modeling Simulation, Yunqi Xiao, Wang Yi Sep 2020

Operation Loss Reduction Control For Large-Scale Wind Farm Based On Hybrid Modeling Simulation, Yunqi Xiao, Wang Yi

Journal of System Simulation

Abstract: Due to the large number of transformers and collection lines in large-scale wind farms, the losses of collecting system is serious in actual operation. A reactive power/voltage control strategy is proposed, which takes wind turbines as the distributed reactive power sources to optimize the power flow in wind farm and reduce the overall losses of collector system. To improve the efficiency of wind farm modeling and multi-scene loss reduction simulation, a hybrid modeling and simulation scheme based on combining object model configuration and control algorithm programming is proposed. The wind farm model consists of module configuration, and can be …

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Simulation Of Grid-Connected Solar Micro-Inverter Based On Fuzzy Pi Controller And Feed-Forward Compensation, Weiliang Liu, Changliang Liu, Huichao Zhang, Yongjun Lin, Liangyu Ma Sep 2020

Simulation Of Grid-Connected Solar Micro-Inverter Based On Fuzzy Pi Controller And Feed-Forward Compensation, Weiliang Liu, Changliang Liu, Huichao Zhang, Yongjun Lin, Liangyu Ma

Journal of System Simulation

Abstract: Grid-connected solar micro-inverter is a highly nonlinear and time-varying system, so it is difficult to achieve good control effect using traditional PI controller. Small signal analysis model of micro-inverter was established, grid-connected current control strategy composed of fuzzy PI controller and grid voltage feed-forward was put forward, and the initial parameters of PI controller was optimized using the genetic algorithm. Simulation results show that the control strategy has the virtues of good robustness, small dynamic deviation, and could reduce the harmonic content of grid-connected current.

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Multiresolution Scene Matching Algorithm For Infrared And Visible Images Based On Non-Subsampled Contourlet Transform, Liu Gang, Guangyu Wang, Zhou Heng, Mingjing Wang Aug 2020

Multiresolution Scene Matching Algorithm For Infrared And Visible Images Based On Non-Subsampled Contourlet Transform, Liu Gang, Guangyu Wang, Zhou Heng, Mingjing Wang

Journal of System Simulation

Abstract: Aiming at scene matching problem for taking infrared image as the actual data and the visible image as the referenced data, a multiresolution matching algorithm was proposed based on non-subsampled contourlet transform (NSCT). By using the transform of phase congruency transform, the difference of grayscale and contrast between infrared image and visible light image was weakened. Subsequently, the two types of images were separately transformed into non-subsampled contourlet domain and the proposed method took the Krawtchouk invariant moment as matching feature. The presented method, which used the improved genetic algorithm (GA) as searching strategy which conquered the precocious phenomenon, …

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Improved Genetic Algorithm-Based Network Game Path Selection And Simulation, Jianping Gu, Mingmin Zhang, Meiliang Wang Aug 2020

Improved Genetic Algorithm-Based Network Game Path Selection And Simulation, Jianping Gu, Mingmin Zhang, Meiliang Wang

Journal of System Simulation

Abstract: Traditional optimal path algorithm only sets the shortest path as the target, and it does not consider the network congestion and the number of users in game area for real-time situation, thus resulting in some limitations. According to the actual circumstance of network game, network game path selection model was proposed, and the improved genetic algorithm was employed for simulation. The method pre-processed the game map to get each road weighted length value for a real-time game map, and optimization solution was obtained through the genetic algorithm. A network game path selection method based on improved genetic algorithm was …

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Vehicle Routing Optimization Model Of Cold Chain Logistics Based On Stochastic Demand, Xiangguo Ma, Tongjuan Liu, Pingzhe Yang, Rongfen Jiang Aug 2020

Vehicle Routing Optimization Model Of Cold Chain Logistics Based On Stochastic Demand, Xiangguo Ma, Tongjuan Liu, Pingzhe Yang, Rongfen Jiang

Journal of System Simulation

Abstract: The costs of vehicle distribution in the process of cold chain logistics is analyzed and amended; A mathematical model with mixing time window is built to balance the customers' service request with importance level; To minimize the total cost, a mathematical model which uses a factor to make balance between the stability of customer demand fluctuation and the cost increase in the assignment phase is established. Based on MATLAB software, the optical solution is found with adaptive genetic algorithm by taking the background of a distribution center to simulate and analyze.

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Structure Learning Of Fuzzy-Tree Based On Rigorous Binary Tree Code And Genetic Algorithm, Changliang Liu, Ziqi Wang Aug 2020

Structure Learning Of Fuzzy-Tree Based On Rigorous Binary Tree Code And Genetic Algorithm, Changliang Liu, Ziqi Wang

Journal of System Simulation

Abstract: To solve the problems of information redundancy and low optimization efficiency in the structure learning of fuzzy-tree model, a method based on rigorous binary tree code and genetic algorithm is proposed. The structure of fuzzy-tree model is coded by rigorous binary tree code, which improves the information redundancy of the existing matrix code. Considering the particularity of the code and the convergence of the algorithm, an improved genetic algorithm is proposed to optimize the structure of fuzzy-tree model. The experimental results show that the algorithm has good stability and computing speed on different data sets, and can find a …

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3d Printing Orientation Optimization Based On Non-Dominated Sorting Genetic Algorithm, Dai Ning, Lisong Ou, Renkai Huang, Liu Hao Aug 2020

3d Printing Orientation Optimization Based On Non-Dominated Sorting Genetic Algorithm, Dai Ning, Lisong Ou, Renkai Huang, Liu Hao

Journal of System Simulation

Abstract: Part orientation is one of the key technologies in 3D Printing,which has important influence on the surface precision, machining time and machining cost of the part. This problem is a research hot point of how to balance the surface precision and machining time. The improved Non-dominated Sorting Genetic algorithm was proposed to solve the problem of part orientation optimization. The mathematical model of part surface accuracy and machining time were constructed. The chromosome model of part orientation and the adaptive crowding distance were established. The genetic operators of select, crossover and mutation were used to get a set of …

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Boiler Combustion Optimization Based On Bayesian Neural Network And Genetic Algorithm, Haiquan Fang, Huifeng Xue, Li Ning, Fei Xi Aug 2020

Boiler Combustion Optimization Based On Bayesian Neural Network And Genetic Algorithm, Haiquan Fang, Huifeng Xue, Li Ning, Fei Xi

Journal of System Simulation

Abstract: Neural network and genetic algorithm have been extensively used in boiler combustion optimization problems. But the traditional Back Propagation neural network's generalization ability is poor. The Bayesian regularization can improve the neural network's generalization ability. A boiler combustion multi-objective optimization method combining Bayesian regularization BP neural network and genetic algorithm （Bayes NN-GA）was researched. A number of field test data from a boiler was used to simulate the Bayesian neural network model. The results show that the thermal efficiency and NOx emissions predicted by the Bayesian neural network model show good agreement with the measured, and the optimal results show …

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Optimization Model Of Cis Network Architecture Based On Information Flow, Jianhua Li, Junwei Zhao Jul 2020

Optimization Model Of Cis Network Architecture Based On Information Flow, Jianhua Li, Junwei Zhao

Journal of System Simulation

Abstract: In order to explore the internal relationship between Command Information System (CIS) network and combat system, a layered combat system model was built, including organizational relationship layer, information interaction layer and communication link layer. Conception of the system coupling intensity was defined, which reflected the influence of network architecture to combat system. An optimization model of CIS network architecture aimed at maximizing the ratio of system coupling intensity to cost coefficient was built. A route programming genetic algorithm was designed and applied into simulation of Air Offensive Campaign (AOC) system network. The results show that the model and algorithm …

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Cell Voltage Optimization Of Aluminum Electrolysis Based On Neural Network-Genetic Algorithm, Chenhua Xu, Li Zhi Jul 2020

Cell Voltage Optimization Of Aluminum Electrolysis Based On Neural Network-Genetic Algorithm, Chenhua Xu, Li Zhi

Journal of System Simulation

Abstract: In order to reduce the production cost of electrolytic aluminum, an optimization extreme method was proposed based on neural network and genetic algorithm, to find the optimal production cell voltage and the corresponding production conditions. Using kernel principal component analysis method to determine the key parameters affecting of aluminum electrolysis production, a neural network model of electrolytic aluminum was established. Using the genetic algorithm, the global optimal value of the cell voltage of the electrolytic aluminum and the corresponding production conditions were found. The simulation results show that the neural network and genetic algorithm can predict the cell …

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Study On Aircraft Scheduling Optimization Based On Improved Genetic Algorithm, Yaohua Li, Wang Lei Jul 2020

Study On Aircraft Scheduling Optimization Based On Improved Genetic Algorithm, Yaohua Li, Wang Lei

Journal of System Simulation

Abstract: Aircraft scheduling was studied, and an optimization model of aircraft assignment based on the objective function of maximize total profit was suggested. It considered its cost and benefits by combining fleet and aircraft. In the view of the feature of this model, the innovation of genetic algorithm chromosome was carried on, and these chromosomes formatted chromosome groups. The groups interior could cross over and mutate, and the probability of crossover and mutation could dynamically adjust in accordance with adaptive values to accelerate the convergence speed, the model was resolved fast in this way. In the process of simulation with …

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Integrated Dynamic Equivalent Model Of Super Capacitor Energy Storage System, Xinran Li, Tingting Xu, Shaojie Tan, Xingting Cheng, Xiaojun Zeng Jul 2020

Integrated Dynamic Equivalent Model Of Super Capacitor Energy Storage System, Xinran Li, Tingting Xu, Shaojie Tan, Xingting Cheng, Xiaojun Zeng

Journal of System Simulation

Abstract: As a high-power energy storage device, super capacitor (SC) is applied in micro-grid energy storage, secondary frequency regulation and peak load shifting in power system, and the research of which has become a hotspot. A second-order model of SC monomer suitable for the grid simulation was established, and the parameter identification using the charge and discharge experiment data under constant current and constant power modes was conducted based on genetic algorithm. A SC energy storage system has been set up in Simulink/Matlab based on the established second-order model of SC. The integrated dynamic equivalent model of SC energy storage …

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Research On Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption, Chen Chao, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Research On Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption, Chen Chao, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: In order to solve the problem of uneven load and energy consumption under disturbance, a flexible job shop scheduling model with average flow time and energy consumption was constructed. Aiming at the above model, a genetic and simulated annealing algorithm (GASA) was designed, which is based on the genetic algorithm and the simulated annealing algorithm. A new group of individuals were generated by genetic algorithm. And then the individual simulated the annealing process, in order to avoid falling into the local optimal. Aiming at the dynamic flexible job shop scheduling problem, the rolling window technique and GASA algorithm were …

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Modeling And Simulation Of Mooring Force Prediction Based On Improved Ga-Bp Network, Shifeng Li, Zhanzhi Qiu Jun 2020

Modeling And Simulation Of Mooring Force Prediction Based On Improved Ga-Bp Network, Shifeng Li, Zhanzhi Qiu

Journal of System Simulation

Abstract: According to the mooring security and early warning control requirement of the large open sea terminal, a ship mooring force prediction model based on genetic algorithm and BP network was studied. Environmental dynamic factors were considered and a model structure was determined by a weight statistics method; the learning method was improved by individual parent information and contemporary individual local gradient information; according to the improved model, a ship mooring force prediction method of the open sea terminal was proposed. The simulation results show that the performance of the prediction model has improved in the iteration number, …

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