A Memetic Algorithm Assisted by an Adaptive Topology RBF Network and Variable Local Models for Expensive Optimization Problems

Yoel Tenne; S.W. Armfield

doi:10.5772/6137

A Memetic Algorithm Assisted by an Adaptive Topology RBF Network and Variable Local Models for Expensive Optimization Problems

Yoel Tenne, S.W. Armfield

Department of Mechanical Engineering and Mechatronics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

With the recent trends towards massive data sets and significant computational power, combined with evolutionary algorithmic advances evolutionary computation is becoming much more relevant to practice. Aim of the book is to present recent improvements, innovative ideas and concepts in a part of a huge EA field.

Original language	English
Title of host publication	Advances in Evolutionary Algorithms
Editors	Witold Kosinski
Place of Publication	Rijeka
Publisher	IntechOpen
Pages	Ch. 4
DOIs	https://doi.org/10.5772/6137
State	Published - 2008

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abstract = "With the recent trends towards massive data sets and significant computational power, combined with evolutionary algorithmic advances evolutionary computation is becoming much more relevant to practice. Aim of the book is to present recent improvements, innovative ideas and concepts in a part of a huge EA field.",

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A Memetic Algorithm Assisted by an Adaptive Topology RBF Network and Variable Local Models for Expensive Optimization Problems

Abstract

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