Solving equations by hybrid evolutionary computation techniques

Jun HE, Jiyou XU, Xin YAO

Research output: Journal PublicationsJournal Article (refereed)peer-review

27 Citations (Scopus)

Abstract

Evolutionary computation techniques have mostly been used to solve various optimization and learning problems. This paper describes a novel application of evolutionary computation techniques to equation solving. Several combinations of evolutionary computation techniques and classical numerical methods are proposed to solve linear and partial differential equations. The hybrid algorithms have been compared with the well-known classical numerical methods. The experimental results show that the proposed hybrid algorithms outperform the classical numerical methods significantly in terms of effectiveness and efficiency.
Original languageEnglish
Pages (from-to)295-304
Number of pages10
JournalIEEE Transactions on Evolutionary Computation
Volume4
Issue number3
DOIs
Publication statusPublished - 2000
Externally publishedYes

Bibliographical note

This work was supported in part by the State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China.

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