A Combined MA-GA Approach for Solving Constrained Optimization Problems

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6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007)

Melbourne, Australia

July 11-July 13

ISBN: 0-7695-2841-4

	ASCII Text	x
	Abu Saleh Shah Muhammad Barkat Ullah, Ruhul Sarker, David Cornforth, "A Combined MA-GA Approach for Solving Constrained Optimization Problems," Computer and Information Science, ACIS International Conference on, pp. 382-387, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007.

	BibTex	x
	@article{ 10.1109/ICIS.2007.9, author = {Abu Saleh Shah Muhammad Barkat Ullah and Ruhul Sarker and David Cornforth}, title = {A Combined MA-GA Approach for Solving Constrained Optimization Problems}, journal ={Computer and Information Science, ACIS International Conference on}, volume = {0}, year = {2007}, isbn = {0-7695-2841-4}, pages = {382-387}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICIS.2007.9}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer and Information Science, ACIS International Conference on TI - A Combined MA-GA Approach for Solving Constrained Optimization Problems SN - 0-7695-2841-4 SP382 EP387 A1 - Abu Saleh Shah Muhammad Barkat Ullah, A1 - Ruhul Sarker, A1 - David Cornforth, PY - 2007 KW - Genetic Algorithms KW - Multiagent Systems KW - Nonlinear Programming KW - Constrained Optimization VL - 0 JA - Computer and Information Science, ACIS International Conference on ER -

Abu Saleh Shah Muhammad Barkat Ullah, Student Member, IEEE; University of New South Wales, Australia

Ruhul Sarker, Member, IEEE; University of New South Wales, Australia

David Cornforth, University of New South Wales, Australia

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIS.2007.9

Many real world decision processes require to solve optimization problems. In this paper, an integrated Multiagent-Genetic Algorithm (MA-GA) is considered to solve constrained optimization problems. The applied approach is new in the literature for solving constrained optimization problems. Ten benchmark problems are used to test the performance of the approach and the results show impressive performance.

Index Terms:

Genetic Algorithms, Multiagent Systems, Nonlinear Programming, Constrained Optimization

Citation:

Abu Saleh Shah Muhammad Barkat Ullah, Ruhul Sarker, David Cornforth, "A Combined MA-GA Approach for Solving Constrained Optimization Problems," icis, pp.382-387, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

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