A framework of grid problem-solving environment employing robust evolutionary search

Authors:
Masaharu Munetomo;Asim Munawar;Kiyoshi Akama
Affiliations:
Information Initiative Center;Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan;Information Initiative Center
Venue:
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Year:
2007

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Abstract

This paper presents a problem-solving framework based on robust evolutionary search in GRID computing environment. Our problem-solving environment called virtual innovative laboratory performs simulator programs in parallel and optimize their input parameters employing a competent evolutionary algorithm with gene analysis. The objective of our project is to replace a part of human designer's try-and-error processes by a parallel and robust evolutionary search on GRID computing systems.