An evolutionary agent system for mathematical programming

Abu S.S.M.Barkat Ullah, Ruhul Sarker, David Cornforth

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

4 Citations (Scopus)


During the last decade, both evolutionary computation and multiagent systems have been used for solving decision and optimization problems. This paper proposes a new evolutionary agent system by incorporating evolutionary process into agent concepts for solving mathematical programming models. Each of the agents represents a candidate solution of the problem, and able to sense and act on the society. The fitness of the agent improves through co-evolutionary adaptation of society with the individual learning of the agents. The performance of the proposed algorithm is tested on five new benchmark problems along with existing 13 well-known problems, and the experimental results show convincing performance.

Original languageEnglish
Title of host publicationAdvances in Computation and Intelligence - Second International Symposium, ISICA 2007, Proceedings
EditorsLishan Kang, Yong Liu, Sanyou Zeng
Place of PublicationNetherlands
Number of pages10
ISBN (Electronic)9783540745815
ISBN (Print)9783540745808
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event2nd International Symposium on Intelligence Computation and Applications, ISICA 2007 - Wuhan, China
Duration: 21 Sept 200723 Sept 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4683 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd International Symposium on Intelligence Computation and Applications, ISICA 2007


Dive into the research topics of 'An evolutionary agent system for mathematical programming'. Together they form a unique fingerprint.

Cite this