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文件名称:PSOGSA_v3
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- 上传时间:2014-02-11
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文件大小:150.93kb
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This a Hybrid PSO GSA Aigorithm.A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution. -This is a Hybrid PSO GSA Aigorithm.A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.
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下载文件列表
license.txt
PSOGSA_v3/
PSOGSA_v3/license.txt
PSOGSA_v3/PSOGSA.jpg
PSOGSA_v3/benchmark_functions.m
PSOGSA_v3/PSOGSA.m
PSOGSA_v3/benchmark_functions_details.m
PSOGSA_v3/Main.m
PSOGSA_v3/
PSOGSA_v3/license.txt
PSOGSA_v3/PSOGSA.jpg
PSOGSA_v3/benchmark_functions.m
PSOGSA_v3/PSOGSA.m
PSOGSA_v3/benchmark_functions_details.m
PSOGSA_v3/Main.m