Non-linear integer programming by Darwin and Boltzmann mixed strategy

Non-linear integer programming is an NP-complete problem with extensive theoretical and practical backgrounds. Based on the proposed Darwin and Boltzmann mixed strategy, a general stochastic iterative algorithm for the NIP problems is presented. The algorithm synthesizes the advantages of the Darwin...

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Veröffentlicht in:	European journal of operational research Jg. 105; H. 1; S. 224 - 235
Hauptverfasser:	Tian, Peng, Ma, Jian, Zhang, Dong-Mo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier 16.02.1998 Elsevier Sequoia S.A
Schriftenreihe:	European Journal of Operational Research
Schlagworte:	Algorithms Applied sciences Exact sciences and technology Integer programming Mathematical programming Nonlinear programming Operational research and scientific management Operational research. Management science Operations research Studies Integer programming Mixed strategy Non linear programming Experimental study Algorithm Optimization Convergence Polynomial time
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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