Author:
RASHEED KHALED,HIRSH HAYM
Abstract
In this paper we describe a method for improving
genetic-algorithm-based optimization using search control.
The idea is to utilize the sequence of points explored
during a search to guide further exploration. The proposed
method is particularly suitable for continuous spaces with
expensive evaluation functions, such as arise in engineering
design. Empirical results in several engineering design
domains demonstrate that the proposed method can significantly
improve the efficiency and reliability of the GA optimizer.
Publisher
Cambridge University Press (CUP)
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering
Cited by
11 articles.
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