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확률적 타부 탐색×유전 알고리즘×
분야시뮬레이션최적화
계열Process / pipelineProcess / pipeline
기원 연도1990s1975
창시자Glover, F. (base TS); stochastic extensions by various authors (1990s–2000s)John Henry Holland
유형Stochastic metaheuristic optimizerPopulation-based metaheuristic
원전Glover, F. (1990). Tabu search: A tutorial. Interfaces, 20(4), 74-94. DOI ↗Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press. link ↗
별칭STS, Randomized Tabu Search, Probabilistic Tabu Search, Noisy Tabu SearchGA, evolutionary algorithm, Genetik Algoritma — Evrimsel Optimizasyon
관련55
요약Stochastic Tabu Search (STS) is an extension of classical Tabu Search that introduces randomness into the neighborhood exploration and move-selection phases. By combining tabu memory — which forbids recently visited solutions — with probabilistic acceptance or random candidate sampling, STS escapes local optima more effectively and explores rugged solution landscapes that deterministic TS may fail to traverse.A genetic algorithm (GA) is a population-based metaheuristic optimization method introduced by John Henry Holland (1975) that mimics the principles of natural selection. It maintains a population of candidate solutions and iteratively improves them through selection, crossover, and mutation operators, making it especially powerful on discontinuous, non-convex, and multi-modal search spaces where classical gradient-based methods fail.
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