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Accelerating Evolutionary Computation Using a Convergence Point Estimated by Weighted Moving Vectors
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- 要約等We introduce weighted moving vectors to increase the accuracy of estimating a convergence point of population and evaluate its efficiency. Key point is to weight moving vectors according to their reliability when a convergence point is calculated instead of equal weighting of the original method. We pr......t methods to evaluate the reliability of moving vectors. The first approach uses the fitness gradient information between starting points and terminal points of moving vectors for their weights. When a fitness gradient is bigger......e direction of a moving vector may have more potential, and a higher weight is given to...
- 件名evolutionary computation estimation of convergence point acceleration weight-based estimation
- 参照Search Acceleration of Evolutionary Multi-Objective Optimization Using an Estimated Convergence Point Metaheuristics—the metaphor exposed Bat algorithm: a novel approach for global engineering optimization Differential evolution – a simple and efficient he......ristic for global optimization over continuous spaces Analytical estimation of the convergence point of populations Particle swarm optimization Estimation of the convergence points of a population using an individual pool Competitive Strategies for Differential Evolution Accelerating evolutionary computation using estimated convergence points Clustering of moving vectors...
Accelerating Evolutionary Computation Using a Convergence Point Estimated by Weighted Moving Vectors
デジタル記事
インターネットで読める全国の図書館
- 件名evolutionary computation estimation of convergence point acceleration weight-based estimation
- 著者標目余, 俊 LI, Yuhao 裴, 岩 髙木, 英行
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