Biogeography-based optimization for constrained optimization problems

Biogeography-based optimization (BBO) has been recently proposed as a viable stochastic optimization algorithm and it has so far been successfully applied in a variety of fields, especially for unconstrained optimization problems. The present paper shows how BBO can be applied for constrained optimi...

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Veröffentlicht in:	Computers & operations research Jg. 39; H. 12; S. 3293 - 3304
Hauptverfasser:	Boussaïd, Ilhem, Chatterjee, Amitava, Siarry, Patrick, Ahmed-Nacer, Mohamed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.12.2012 Elsevier Pergamon Press Inc
Schlagworte:	Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Biogeography Biogeography-based optimization Computer Science Computer science; control theory; systems Constrained optimization Constraints Exact sciences and technology Inequalities Mathematical analysis Mathematical models Mathematical problems Mathematical programming Operational research and scientific management Operational research. Management science Operations Research Optimization Optimization algorithms Preserves Selection procedure Stochastic models Stochasticity Strategy Studies Theoretical computing Selection procedure Biogeography-based optimization Constrained optimization Unconstrained optimization Evolutionary algorithm Expert system Inequality constraint Equality constraint Biogeography Feasibility Objective function Stochastic programming
ISSN:	0305-0548, 1873-765X, 0305-0548
Online-Zugang:	Volltext
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