A Framework for Genetic Algorithms in Parallel Environments
作者： Hiroyasu Tomoyuki , Miki Mitsunori , Yamanaka Ryosuke , Yoshimi Masato
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摘要: In this research, we developed a framework to execute genetic algorithms (GA) in various parallel environments. GA researchers can prepare implementations of operators and fitness functions using framework. We have prepared several types communication library Combining our libraries, benefit from processing without requiring deep knowledge different architectures. the proposed framework, model is restricted micrograined model. paper, libraries for Windows cluster environment, multi-core CPU GPGPU environment are described. A simple was implemented with Computational performance also discussed through numerical examples.
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