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Application of Interactive Evolutional Computing to Core Design

Author:Kobayashi Yoko, TEPCO SYSTEMS CORPORATION, Japan
Topic:3.2 Cognition and Control ( AI, Fuzzy, Neuro, Evolut.Comp.)
Session:Multi-Agent Systems
Keywords: Interactive Evolutionary Computing, Optimization, Multi-agents Algorithm, Core Design

Abstract

This paper presents a new approach to the use interactive evolutional computing (IEC) for the automatic core design of a boiling water reactor (BWR). In particular, the approach combines the characteristics of both heuristic search and interactive operation. A heuristic search is performed by a population of chromosomes (or agents) in a search space and an interactive operation is performed by a skilled engineer. These results are competitive with our previous technique. The effectiveness of this approach is demonstrated by the reduction in time and number of iterations it takes to find an optimal loading pattern in the core design of a real BWR.