ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

多目标禁忌搜索 (MOTS)×禁忌搜索×
领域仿真优化
方法族Process / pipelineProcess / pipeline
起源年份19971989
提出者Hansen, M. P.; building on Glover (1989) Tabu SearchFred Glover
类型Metaheuristic multi-objective optimizationLocal-search metaheuristic
开创性文献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 ↗Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206. link ↗
别名MOTS, Multi-criteria Tabu Search, Pareto Tabu Search, TSMOOTabu Araması (Tabu Search), TS, tabu metaheuristic
相关54
摘要Multi-objective Tabu Search (MOTS) is a metaheuristic algorithm that extends the classic Tabu Search framework to simultaneously optimize two or more conflicting objective functions. Instead of a single optimum, it seeks to approximate the Pareto front — the set of solutions where no objective can be improved without worsening another — making it suitable for complex combinatorial and continuous optimization problems in engineering, logistics, and operations research.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.
ScholarGate数据集
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Multi-objective Tabu Search · Tabu Search. 于 2026-06-18 检索自 https://scholargate.app/zh/compare