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Study The Effects Of Multilevel Selection In Multi-Population Cultural Algorithm, Dilpreet Singh
Study The Effects Of Multilevel Selection In Multi-Population Cultural Algorithm, Dilpreet Singh
Electronic Theses and Dissertations
This is a study on the effects of multilevel selection (MLS) theory in optimizing numerical functions. Based on this theory, a new architecture for Multi-Population Cultural Algorithm is proposed which incorporates a new multilevel selection framework (ML-MPCA). The approach used in this paper is based on biological group selection theory that states natural selection acts collectively on all the members of a given group. The effects of cooperation are studied using n-player prisoner’s dilemma. In this game, N individuals are randomly divided into m groups and individuals independently choose to be either cooperator or defector. A two-level selection process is …
Performance Evaluation Of Competing Data Structures, Mohsen Tavakoli
Performance Evaluation Of Competing Data Structures, Mohsen Tavakoli
Electronic Theses and Dissertations
Pathfinding is an essential part of many applications, including video games and robot navigation. A pathfinding algorithm usually finds a path from the given starting point to the endpoint. Many different implementations of pathfinding solutions exist in the industry. One of the most known and used of these algorithms is A*. A* will find the shortest path from the starting point to the endpoint. Classic A* algorithm can guarantee the shortest path to the desired destination which was introduced in 1968 by Hart, Nilsson, and Raphael. A* is widely used in the game industry to solve the shortest path problem. …
Optimization Of Bacterial Expression And Purification Of Nipsnap1 Protein, Jay Michael Yarbro
Optimization Of Bacterial Expression And Purification Of Nipsnap1 Protein, Jay Michael Yarbro
Electronic Theses and Dissertations
Nipsnap1 (4-nitrophenylphosphatase domain and non-neuronal SNAP25-like homolog 1) is a novel mitochondrial protein shown to interact with the intracellular domain of amyloid precursor protein (APP), one of the key biomarkers implicated in Alzheimer’s disease (AD) pathology. A formerly developed expression strategy for Nipsnap1 based on the pET-28a expression system showed direct binding of purified recombinant Nipsnap1 to NAD+ and NADP+. This was further confirmed using Circular Dichroism (CD) spectroscopy, indicating that NAD+ binding produces a structural change in Nipsnap1.To address the low yield of Nipsnap1 protein in the former expression system, several approaches and conditions were evaluated in this study. …
Developing Optimization Techniques For Logistical Tendering Using Reverse Combinatorial Auctions, Jennifer Kiser
Developing Optimization Techniques For Logistical Tendering Using Reverse Combinatorial Auctions, Jennifer Kiser
Electronic Theses and Dissertations
In business-to-business logistical sourcing events, companies regularly use a bidding process known as tendering in the procurement of transportation services from third-party providers. Usually in the form of an auction involving a single buyer and one or more sellers, the buyer must make decisions regarding with which suppliers to partner and how to distribute the transportation lanes and volume among its suppliers; this is equivalent to solving the optimization problem commonly referred to as the Winner Determination Problem. In order to take into account the complexities inherent to the procurement problem, such as considering a supplier’s network, economies of scope, …
Development Of Optimal Material Extrusion Additive Manufacturing Tool Path Parameters For Minimizing Void Regions Using Contemporary Tool Path Solutions, Hasti Eiliat
Electronic Theses and Dissertations
A problem with the planning solutions for the additive manufacturing material extrusion process is a lack of optimization strategies to improve upon the standard raster and contour toolpaths. After experimental testing, it was recognized that a component’s strength relationship with respect to the volume of material usage is inconsistent and that failures occurred in regions of voids. From previous studies, it was found that a build orientation in the material extrusion process influences the support material requirements, processing time, surface finish, voids volume, etc. This dissertation aims to identify, minimize, and manage void regions during the toolpath generation, and studies …
Assessment And Optimization Of Environmental Systems Using Data Analysis And Simulation., Milad Ebrahimi
Assessment And Optimization Of Environmental Systems Using Data Analysis And Simulation., Milad Ebrahimi
Electronic Theses and Dissertations
For most environmental systems, specifically wastewater treatment plants and aquifers, a significant number of performance data variables are attained on a time series basis. Due to the interconnectedness of the variables, it is often difficult to assess over-arching trends and quantify temporal operational performance. The objective of this research study was to provide an effective means for comprehensive temporal evaluation of environmental systems. The proposed methodology used several multivariate data analyses and statistical techniques to present an assessment framework for the water quality monitoring programs as well as optimization of treatment plants and aquifer systems. The developed procedure considered the …
A New Measure For Optimization Of Field Sensor Network With Application To Lidar, Farsam Farzadpour
A New Measure For Optimization Of Field Sensor Network With Application To Lidar, Farsam Farzadpour
Electronic Theses and Dissertations
This thesis proposes a solution to the problem of modeling and optimizing the field sensor network in terms of the coverage performance. The term field sensor is referred to a class of sensors which can detect the regions in 2D/3D spaces through non-contact measurements. The most widely used field sensors include cameras, LiDAR, ultrasonic sensor, and RADAR, etc. The key challenge in the applications of field sensor networks, such as area coverage, is to develop an effective performance measure, which has to involve both sensor and environment parameters. The nature of space distribution in the case of the field sensor …
Optimization Of Heat Sinks In A Range Of Configurations., Archibald Allswell Amoako
Optimization Of Heat Sinks In A Range Of Configurations., Archibald Allswell Amoako
Electronic Theses and Dissertations
In this study, different heatsink geometries used for electronic cooling are studied and compared to each other to determine the most efficient. The goal is to optimize heat transfer of the heat sinks studied in a range of configuration based on fin geometry. Heat sinks are thermal conductive material devices designed to absorb and disperse heat from high-temperature objects (e.g. Computer CPU). Common materials used in the manufacturing of heat sinks are aluminum and copper due to their relatively high thermal conductivity and lightweight [1]. Aluminum is used as the material for the heatsinks studied in this research project. To …
Multiobjective Reservoir Optimization Using Genetic Algorithm, Seyma Tiryakioglu
Multiobjective Reservoir Optimization Using Genetic Algorithm, Seyma Tiryakioglu
Electronic Theses and Dissertations
This thesis investigates the optimization of energy generation in a multipurpose reservoir. The objective functions and the constraints for the multiobjective optimization of reservoir operation for maximization of energy production involve the solution of a set of nonlinear equations governing pressure flow in penstock and turbine system and the hydropower generation. The hydropower generation also requires operational rules that define how the reservoir storage volume must be used at different storage levels. For these reasons, the present thesis uses genetic algorithm (GA) functions available in Matlab to perform the multiobjective optimization of hydropower energy production. Multiobjective optimization is based on …
Geometric Optimization Of A Heaving Point Absorber Wave Energy Converter, Ian Riley
Geometric Optimization Of A Heaving Point Absorber Wave Energy Converter, Ian Riley
Electronic Theses and Dissertations
Wave energy shows significant potential for development into a competitive renewable energy source. Non-renewable resources are finite and contribute to adverse effects on the environment. Development of wave energy conversion devices that use heave motion as the primary driver for converting wave energy into electrical potential is explored through optimizing the geometry of an axisymmetric partially submerged buoy in deep water. The governing equations of motion and hydrodynamic forces are solved for in one degree of freedom using ANSYS Aqwa. An external PTO device is simulated to induce power capture in the system. Four different geometric shapes are tested and …