Multi-objective optimization for stochastic computer networks using NSGA-II and TOPSIS

► Find the optimal network line assignment with maximal network reliability and minimal total cost. ► Evaluate network reliability in terms of MPs and RSDP. ► An approach based on NSGA-II and TOPSIS is proposed to solve the multi-objective problem. ► Focus on practical computer networks to implement...

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Veröffentlicht in:	European journal of operational research Jg. 218; H. 3; S. 735 - 746
Hauptverfasser:	Lin, Yi-Kuei, Yeh, Cheng-Ta
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.05.2012 Elsevier Elsevier Sequoia S.A
Schlagworte:	Applied sciences Computer networks Computer science; control theory; systems Computer systems and distributed systems. User interface Data transmission Decision theory. Utility theory Exact sciences and technology Genetic algorithms Mathematical models Mathematical programming Multiple objective programming Networks Non-dominated sorting genetic algorithm II Operational research and scientific management Operational research. Management science Optimization Optimization algorithms Reliability Reliability theory. Replacement problems Searching Software Stochastic computer network Stochasticity Studies Technique for order preference by similarity to ideal solution Transmission lines Non-dominated sorting genetic algorithm II Reliability Stochastic computer network Multiple objective programming Technique for order preference by similarity to ideal solution Performance evaluation Cost minimization Multicriteria analysis Multiobjective programming Transmission line Disjoint product Computer network Minimal path Probabilistic approach Pareto optimum Decision making Similarity solution Distributed system Communication network Stochastic programming Network reliability Genetic algorithm Preference Quality control Telecommunication network Complex network Recursive method
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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