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Process / pipelineSimulation / optimization

Utafutaji wa Tabu Wenye Malengo Mengi (MOTS) — Metaheuristic kwa suluhisho bora za Pareto

Utafutaji wa Tabu Wenye Malengo Mengi (MOTS) ni algoriti ya metaheuristic inayopanua mfumo wa kawaida wa Utafutaji wa Tabu ili kuboresha kwa wakati mmoja kazi mbili au zaidi za malengo yanayokinzana. Badala ya optimumu moja, inatafuta kukadiria mpaka wa Pareto — seti ya suluhisho ambapo hakuna lengo linaloweza kuboreshwa bila kuzorotesha lingine — na kuifanya ifae kwa matatizo changamano ya uboreshaji wa mchanganyiko na endelevu katika uhandisi, vifaa, na utafiti wa uendeshaji.

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Vyanzo

  1. Hansen, M. P. (1997). Tabu search for multiobjective optimization: MOTS. Presented at the 13th International Conference on Multiple Criteria Decision Making (MCDM), Cape Town, South Africa. link
  2. Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206. DOI: 10.1287/ijoc.1.3.190

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multi-objective Tabu Search (MOTS) — Metaheuristic optimization for multiple conflicting objectives. ScholarGate. https://scholargate.app/sw/simulation/multi-objective-tabu-search

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateMulti-objective Tabu Search (Multi-objective Tabu Search (MOTS) — Metaheuristic optimization for multiple conflicting objectives). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/simulation/multi-objective-tabu-search · Seti ya data: https://doi.org/10.5281/zenodo.20539026