A novel genetic algorithm for the layout optimization problem

Xu, Yi-Chun, Xiao, Ren-Bin and Amos, Martyn (2008) A novel genetic algorithm for the layout optimization problem. In: 2007 IEEE Congress on Evolutionary Computation, 25th September 2007 - 28th September 2007, Singapore.

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Official URL: https://ieeexplore.ieee.org/document/4424984

Abstract

In this paper we present a new algorithm for the Layout Optimization Problem: this concerns the placement of circular, weighted objects inside a circular container, the two objectives being to minimize imbalance of mass and to minimize the radius of the container. This problem carries real practical significance in industrial applications (such as the design of satellites), as well as being of significant theoretical interest. We present a genetic algorithm solution and compare it with two existing nature-inspired methods, one of which is the best published algorithm for this problem. Experimental results show that our approach out-performs these existing methods in terms of both solution quality and execution time.

Item Type:	Conference or Workshop Item (Paper)
Published Proceedings:	2007 IEEE Congress on Evolutionary Computation
Peer-reviewed:	Yes
Date Deposited:	24 Mar 2010 14:30
Publisher:	IEEE Press
Additional Information:	Full-text of this article is not available in this e-prints service. This article was originally published in Proceedings of the IEEE Congress on Evolutionary Computation 2007, published by and copyright IEEE Press.
Divisions:
URI:	https://e-space.mmu.ac.uk/id/eprint/94885
DOI:	https://doi.org/10.1109/CEC.2007.4424984
ISSN	1089-778X
e-ISSN	1941-0026

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