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Full-Text Articles in Engineering
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
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 …
Shape Optimization Of Rectangular Multi-Chamber Mufflers At High-Order-Modes, Ying-Chun Chang, Min-Chie Chiu
Shape Optimization Of Rectangular Multi-Chamber Mufflers At High-Order-Modes, Ying-Chun Chang, Min-Chie Chiu
Journal of Marine Science and Technology
Muffler design as of late has been restricted to lower frequencies using the plane wave theory. This has led to an underestimation of acoustical performances at higher frequencies. To overcome the above shortcomings, an analysis of three-dimensional waves propagating for a simple muffler using the finite element method has been developed. However, there has been scant research on rectangular mufflers equipped with baffle plates that eliminate noise, nor has the space-constrained conditions of industrial muffler designs been properly addressed. Therefore, to improve the acoustical performance of a rectangular muffler within a constrained space, the shape optimization of rectangular mufflers using …
Multi Agv Scheduling Problem In Automated Container Terminal, Jian Jin, Xiao-Hua Zhang
Multi Agv Scheduling Problem In Automated Container Terminal, Jian Jin, Xiao-Hua Zhang
Journal of Marine Science and Technology
In this paper we propose a dynamic multi automated guided vehicle (AGV) scheduling method based on the scheduling properties of automated container terminal handling systems. In multi-AGV scheduling, the composition of AGV handling time and the precedence order of certain tasks are major constraints. Taking these into consideration, we design a genetic algorithm (GA) for a dynamic multi-AGV scheduling model to minimize completion time and standard deviation of handling time of quay cranes (QC), and validated the proposed model through numerical experiment. We expect this model to be significant for multi-agent scheduling of discrete production systems.
A Particle Swarm Optimization-Like Algorithm For Constrained Minimal Spanning Tree Problems, Chun-Chao Yeh, Ying-Che Chien
A Particle Swarm Optimization-Like Algorithm For Constrained Minimal Spanning Tree Problems, Chun-Chao Yeh, Ying-Che Chien
Journal of Marine Science and Technology
Previous studies have discussed various constrained minimal spanning tree (MST) problems. In this paper, we propose an efficient algorithm for solving a class of constrained MST problems. The proposed PSO (Particle Swarm Optimization)- like strategy for solving constrained MST problems identifies optimal MSTs under degree and delay constraints. The solution quality and computation time of the proposed PLCMST (PSO-Like algorithm for Constrained MST problems) algorithm is compared with two other algorithms: one based on ant colony optimization, and the other based on a genetic algorithm strategy. Our experimental results show that the PLCMST outperforms the other two approaches, particularly when …
Shape Optimization Of Multi-Chamber Side Inlet/Outlet Mufflers Hybridized With Multiple Perforated Intruding Tubes Using A Genetic Algorithm, Min-Chie Chiu, Ying-Chun Chang
Shape Optimization Of Multi-Chamber Side Inlet/Outlet Mufflers Hybridized With Multiple Perforated Intruding Tubes Using A Genetic Algorithm, Min-Chie Chiu, Ying-Chun Chang
Journal of Marine Science and Technology
The use of perforated-tube side mufflers for depressing venting noise within a constrained space has been prevalent in modern industries. Also, research on mufflers equipped with side inlets/outlets has been thoroughly documented. However, research on shape optimization of side inlet/outlet mufflers hybridized with multiple open-ended perforated intruding tubes which may enhance acoustic performance has gone unnoticed. Therefore, we wish to not only analyze the sound transmission loss (STL) of side inlet/outlet mufflers but also to optimize their best design shape within a limited space. In this paper, the generalized decoupling technique and the plane wave theory used in solving the …
Design Optimization Of A Submerged Vane With Streamlined Profile For Sediment Management In Rivers, Huei-Tau Ouyang, Jihn-Sung Lai
Design Optimization Of A Submerged Vane With Streamlined Profile For Sediment Management In Rivers, Huei-Tau Ouyang, Jihn-Sung Lai
Journal of Marine Science and Technology
The design of the submerged vane, a flow training structure for sediment management in rivers, is optimized using a Genetic Algorithm. The vane considered in this study has a foil-like sectional profile and a tapered outline. The sectional profile of the vane is based on two types of shape formulations: (1) NACA’s four-digit wing profiles, and (2) profiles comprising two Bezier splines. By using Elitist and Crowding factor models, the optimization proceeds by creating successively improved generations of vanes. The final design for the vane with NACA profile has higher lift yet larger drag. Conversely, the final design for the …
Design And Realization Of A Hybrid Intelligent Controller For A Twin Rotor Mimo System, Jih-Gau Juang, Kai-Ti Tu
Design And Realization Of A Hybrid Intelligent Controller For A Twin Rotor Mimo System, Jih-Gau Juang, Kai-Ti Tu
Journal of Marine Science and Technology
An intelligent control scheme using a fuzzy switching mechanism, grey prediction and genetic algorithm (GA) is applied to a coupled nonlinear system, called a twin rotor multi-input multi-output system (TRMS). In real-time control, a Xilinx Spartan II SP200 FPGA (Field Programmable Gate Array) is employed to construct a hardware-in-the-loop system through writing VHDL on this FPGA. The objective is to stabilize the TRMS in significant cross-coupled conditions, and to experiment with setpoint control and trajectory tracking. The proposed scheme improves the performance of the PID controller. Control gains and parameters of the fuzzy switching mechanism are obtained by GA. Simulation …
Optimum Design Of Mufflers Hybridized With One-Connected Curved Tube Using The Boundary Element Method, Neural Networks, And The Genetic Algorithm, Ying-Chun Chang, Min-Chie Chiu, Ching-Chung Hsieh
Optimum Design Of Mufflers Hybridized With One-Connected Curved Tube Using The Boundary Element Method, Neural Networks, And The Genetic Algorithm, Ying-Chun Chang, Min-Chie Chiu, Ching-Chung Hsieh
Journal of Marine Science and Technology
Recently, research on new techniques for an economical muffler, which is hybridized with a single-connected curved tube, has been applied in the industrial field. Most researchers have explored noise reduction effects based on the transfer matrix method and the stiffness matrix method. However, the maximum noise reduction of a silencer within a constrained space, which frequently occurs in engineering problems, has been neglected. Therefore, the optimum design of mufflers becomes an essential issue. In this paper the shape optimization of a one-connected tube muffler with a fixed length is examined. In order to speed up the optimization assessment, a simplified …
Shape Optimization Of One-Chamber Mufflers With Reverse-Flow Ducts Using A Genetic Algorithm, Min-Chie Chiu
Shape Optimization Of One-Chamber Mufflers With Reverse-Flow Ducts Using A Genetic Algorithm, Min-Chie Chiu
Journal of Marine Science and Technology
Shape optimization on mufflers within a limited space is essential for industry where the equipment layout is occasionally tight and the available space for a muffler is limited for maintenance and operation purposes. To proficiently enhance the acoustical performance within a constrained space, the selection of an appropriate acoustical mechanism and optimizer becomes crucial. A one-chamber muffler hybridized with reverse-flow ducts which can visibly increase the acoustical performance is rarely addressed; therefore, the main purpose of this paper is to numerically analyze and maximize the acoustical performance of this muffler within a limited space. In this paper, the four-pole system …
A Novel Stability Condition And Its Application To Ga-Based Fuzzy Control For Nonlinear Systems With Uncertainty, Po-Chen Chen, Cheng-Wu Chen, Wei-Ling Chiang, Ken Yeh
A Novel Stability Condition And Its Application To Ga-Based Fuzzy Control For Nonlinear Systems With Uncertainty, Po-Chen Chen, Cheng-Wu Chen, Wei-Ling Chiang, Ken Yeh
Journal of Marine Science and Technology
In this study, we strive to combine the advantages of fuzzy logic control (FLC), genetic algorithms (GA), H∞ tracking control schemes, smooth control and adaptive laws to design an adaptive fuzzy sliding model controller for the rapid and efficient stabilization of complex and nonlinear systems. First, we utilize a reference model and a fuzzy model (both involving FLC rules) to describe and well-approximate an uncertain, nonlinear plant. The FLC rules and the consequent parameter are decided on via GA. A boundary-layer function is introduced into these updated laws to cover modeling errors and to guarantee that the state errors converge …
Genetic Algorithms For Design Of Pipe Network Systems, Hong-Min Shau, Bi-Liang Lin, Wen-Chih Huang
Genetic Algorithms For Design Of Pipe Network Systems, Hong-Min Shau, Bi-Liang Lin, Wen-Chih Huang
Journal of Marine Science and Technology
In the last three decades, a significant number of methods for optimal design of pipe network systems have been developed using linear programming, non-linear programming, dynamic programming, enumeration techniques, and genetic algorithm (GA). This paper presents a genetic algorithm (GA) approach to the design of a pipe network systems. The objectives considered are minimization of the network cost in the practical requirement. Of all the preceding methods, GA based methods appear to be robust, as they can handle discrete pipes sizes with ease and produce a set of alternatives. By judgmentally selecting the Ruey-Fang district water supply system for the …
Application Of Genetic Algorithm To The Shape Optimization Of A Constrained Double-Chamber Muffler With Extended Tubes, Long-Jyi Yeh, Ying-Chun Chang, Min-Chie Chiu
Application Of Genetic Algorithm To The Shape Optimization Of A Constrained Double-Chamber Muffler With Extended Tubes, Long-Jyi Yeh, Ying-Chun Chang, Min-Chie Chiu
Journal of Marine Science and Technology
As the compact design of a muffler system within a constrained environment of a existing machine room becomes obligatory, it also becomes essential to maximize the acoustic performance of mufflers under space constraints. In this paper, the shape optimization of a double-chamber muffler with an extended tube is presented. The main characteristic of the solution methodology is the use of genetic algorithm (GA) as the optimizer. In the paper, the acoustic performance of sound transmission loss (STL) derived by transfer matrix is conjugated with the techniques of GA searching. A numerical case of noise elimination in full band noise is …