A real coded genetic algorithm for solving integer and mixed integer optimization problems

In this paper, a real coded genetic algorithm named MI-LXPM is proposed for solving integer and mixed integer constrained optimization problems. The proposed algorithm is a suitably modified and extended version of the real coded genetic algorithm, LXPM, of Deep and Thakur [K. Deep, M. Thakur, A new...

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Veröffentlicht in:	Applied mathematics and computation Jg. 212; H. 2; S. 505 - 518
Hauptverfasser:	Deep, Kusum, Singh, Krishna Pratap, Kansal, M.L., Mohan, C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Inc 15.06.2009 Elsevier
Schlagworte:	Calculus of variations and optimal control Constrained optimization Exact sciences and technology Integer and mixed integer optimization problems Mathematical analysis Mathematics Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming, optimization and calculus of variations Random search based techniques Real coded genetic algorithms Sciences and techniques of general use Integer and mixed integer optimization problems Real coded genetic algorithms Random search based techniques Constrained optimization Optimization method Penalty method Search algorithm Truncation Integer Integer and mixed integer optimization Numerical analysis Algorithm performance Genetic algorithm Applied mathematics Mixed problem Mathematical programming problems
ISSN:	0096-3003, 1873-5649
Online-Zugang:	Volltext
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