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Harmony Search×Tabu Search×
ГалузьОптимізаціяОптимізація
РодинаProcess / pipelineProcess / pipeline
Рік появи20011989
Автор методуZong Woo Geem, Joong Hoon Kim, G. V. LoganathanFred Glover
ТипMetaheuristic population-based optimizationLocal-search metaheuristic
Основоположне джерелоGeem, Z. W., Kim, J. H., & Loganathan, G. V. (2001). A New Heuristic Optimization Algorithm: Harmony Search. Simulation, 76(2), 60–68. DOI ↗Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206. link ↗
Інші назвиHS algorithm, Harmoni Araması (Harmony Search), music-inspired optimizationTabu Araması (Tabu Search), TS, tabu metaheuristic
Пов'язані54
ПідсумокHarmony Search (HS) is a population-based metaheuristic optimization algorithm introduced by Geem, Kim, and Loganathan in 2001. It mimics the improvisation process of jazz musicians seeking a perfect state of harmony, using three operators — memory consideration, pitch adjustment, and random selection — to generate candidate solutions. The algorithm applies to both continuous and discrete variables and has found wide use in engineering design, water distribution network optimization, and combinatorial problems.Tabu Search is a local-search metaheuristic introduced by Fred Glover in 1989 that uses a tabu list — a short-term memory of recently visited solutions — to prevent cycling and escape local optima. By explicitly forbidding moves that reverse recent decisions, the algorithm explores the search space more broadly and, through long-term memory structures such as aspiration criteria, aims to approach the global optimum even in large, complex combinatorial problems.
ScholarGateНабір даних
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ScholarGateПорівняння методів: Harmony Search · Tabu Search. Отримано 2026-06-20 з https://scholargate.app/uk/compare