A comparison of various optimization algorithms on a multilevel problem-Reference-Cited by-同舟云学术

A comparison of various optimization algorithms on a multilevel problem

Published:1999-10 Issue:5 Volume:12 Page:639-654
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

El-Beltagy M.A.,Keane A.J.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference42 articles.

1. Dynamic control of genetic algorithms in a noisy environment;Aizawa,1993

2. Tracking extrema in dynamic environments;Angeline,1997

3. On the behaviour of evolutionary algorithms in dynamic enviroments;Bäck,1998

4. A survey of evolution strategies;Bäck,1991

5. Baluja, S., 1994. Population-based incremental learning: a method for integrating genetic search based function optimization and competitive learning. Report CMU-CS-94-163. Carnegie Mellon University

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