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2016 Fiscal Year Final Research Report

On the framework for parallel evolutionary computation on GPUs

Research Project

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Project/Area Number 25330296
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Soft computing
Research InstitutionOsaka Prefecture University

Principal Investigator

Tsutsui Shigeyoshi  大阪府立大学, 理学(系)研究科(研究院), 客員研究員 (90188590)

Project Period (FY) 2013-04-01 – 2017-03-31
KeywordsGPU / GPGPU / 並列進化計算 / 組合せ最適化問題 / ローカルサーチ / タブーサーチ
Outline of Final Research Achievements

Recent GPUs (Graphics Processing Units) can be applied to a general computation program and research on GPGPU (General Purpose computation on GPU) which applies GPU to various scientific computation has become popular. Evolutionary computation represented by genetic algorithm (GA) has high parallelism of processing at individual level, population level, etc, and is a suitable for parallel execution.
In this research, we developed an efficient framework for the construction of parallel evolutionary computation by GPU.

Free Research Field

情報科学

URL: 

Published: 2018-03-22  

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