NDLI: Analysis of constraint handling methods for the gravitational search algorithm

Content Provider	IEEE Xplore Digital Library
Author	Poole, D.J. Allen, C.B. Rendall, T.C.S.
Copyright Year	2014
Description	Author affiliation: Dept. of Aerosp. Eng., Univ. of Bristol, Bristol, UK (Poole, D.J.; Allen, C.B.; Rendall, T.C.S.)
Abstract	The gravitational search algorithm (GSA) is a recent addition to the family of global optimization algorithms based on phenomena found in nature, specifically the gravitational attractive force between two bodies of mass. However, like almost all global search algorithms of this type, GSA has no direct method of handling a constrained optimization problem. There has been much attention to constraint handling using other agent based systems, though the mechanics of GSA make the application of many of these difficult. This paper has therefore analysed constraint handling methods for use with GSA and compared the performance of simple to implement methods (penalties and feasible directions) with a novel separation-sub-swarm (3S) approach, and found that feasible direction methods ideally need at least one initially feasible particle, and that the novel 3S approach is highly effective for solving constrained optimization problems using GSA outperforming the other approaches tested.
Starting Page	2005
Ending Page	2012
File Size	310839
Page Count	8
File Format	PDF
e-ISBN	9781479914883
DOI	10.1109/CEC.2014.6900271
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization Algorithm design and analysis Linear programming Particle swarm optimization Search problems Heuristic algorithms Vectors
Content Type	Text
Resource Type	Article

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