MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem

This paper presents a new multiobjective genetic algorithm based on the Tchebycheff scalarizing function, which aims to generate a good approximation of the nondominated solution set of the multiobjective problem. The algorithm performs several stages, each one intended for searching potentially non...

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Veröffentlicht in:	Computers & operations research 2007-11, Vol.34 (11), p.3458-3470
Hauptverfasser:	Alves, Maria João, Almeida, Marla
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Approximation Exact sciences and technology Flows in networks. Combinatorial problems Genetic algorithms Knapsack problem Multiple objective programming Operational research and scientific management Operational research. Management science Optimization algorithms Studies
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