Tabu search for multiobjective combinatorial optimization : TAMOCO

• Autorzy: Hansen M.
• Języki publikacji: EN

Abstrakty

EN

This paper presents the multiobjective tabu search method, TAMOCO. Being an adaptation of the well-known tabu search, it can be used to generate approximations to the non-dominated solutions of multiobjective combinatorial optimization problems. TAMOCO works with a set of current solutions which, through manipulation of weights, are optimized towards the non-dominated frontier while at the same time seek to disperse over the frontier. The general procedure and some extensions to it are presented, as well as suggestions of usage in interactive procedures. A computational experiment is also presented.

Słowa kluczowe

EN

metaheuristics; multiobjective combinatorial optimization (MOCO); tabu search

PL

polioptymalizacja kombinatoryczna

• Wydawca: Systems Research Institute, Polish Academy of Sciences
• Czasopismo: Control and Cybernetics
• Rocznik: 2000
• Tom: Vol. 29, no 3
• Strony: 799--818
• Opis fizyczny: Bibliogr. 39 poz.,

Twórcy

autor

Hansen M.