An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization-Reference-Cited by-同舟云学术

An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization

Published:2018-07 Issue: Volume:451-452 Page:326-347
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Awad Noor H.,Ali Mostafa Z.^ORCID,Mallipeddi Rammohan,Suganthan Ponnuthurai N.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. A modified version of a T-cell algorithm for constrained optimization problems;Aragon;Int. J. Numer. Methods Eng.,2010

2. Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms;Back,1996

3. Accelerating evolutionary algorithms using fitness function models;Buche,2003

4. A Comparison of Polynomial Approximation and Artificial Neural Nets as Response Surface;Carpenter,1992

5. Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art;Coello;Comput. Methods Appl. Mech. Eng.,2002

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