Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Population-based algorithms"”.
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A Graph Neural Network for pairwise surrogate modeling in population-based algorithms with tournament selection
… be computationally intensive. Machine learning-based surrogate models can contribute to learning the specific pattern among the decision variables and objective values to reduce the computation time of fitness evaluation. In this study, we have proposed a novel pairwise surrogate model to …
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Set-based Particle Swarm Optimisation for Dynamic Optimisation Problems
… with real-valued variables, where continuous population-based metaheuristics have emerged as the predominant class of solution methods. This thesis investigates the application of set-based particle swarm optimisation (SBPSO) to dynamic combinatorial optimisation problems and dynamic …
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Modeling Metal Protein Complexes from Experimental Extended X-ray Absorption Fine Structure using Computational Intelligence
… in finding the global minima. Multiple population based algorithms, including a genetic algorithm, a restarting ge- netic algorithm, differential evolution, and particle swarm optimization, are studied for their effectiveness in structure refinement of EXAFS. The oxygen-evolving com- …
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Enhancing meta-heuristic algorithms using center-based sampling at population level
In recent years, center-based sampling has demonstrated impressive results to enhance the efficiency and effectiveness of meta-heuristic algorithms. The strategy of center-based sampling can be utilized at either the operation and/or population levels. Despite the overall efficiency of the …
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Evolutionary Computation for Dynamic Optimisation Problems with Different Requirement Satisfaction
… focuses on tracking moving optima or maintaining population diversity. Studies in Evolutionary Dynamic Optimization (EDO) typically allow for many individual evaluations before the environment changes. When the environment changes very quickly, unsolved challenges arise where typical …
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Evolutionary Algorithm For Large-Scale Optimization
… To deal with these issues, several Evolutionary Algorithms (EAs) based on the divide-and-conquer concept have been proposed. A popular approach in this area is Cooperative Co-evolution (CC) which usually divides a problem into a number of smaller sub-problems that can be optimized cooperatively. …