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。

约束规划×禁忌搜索×
领域优化优化
方法族Process / pipelineProcess / pipeline
起源年份20061989
提出者Rossi, van Beek & WalshFred Glover
类型Declarative combinatorial optimizationLocal-search metaheuristic
开创性文献Rossi, F., van Beek, P., & Walsh, T. (Eds.). (2006). Handbook of Constraint Programming. Elsevier. ISBN: 978-0-444-52726-4Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206. link ↗
别名Constraint Satisfaction Programming, Constraint-Based Optimization, Kısıt Programlama, CSP OptimizationTabu Araması (Tabu Search), TS, tabu metaheuristic
相关34
摘要Constraint Programming (CP) is a declarative optimization paradigm in which a problem is formulated as a set of variables, finite domains, and constraints, and a solver systematically searches for assignments that satisfy all constraints. Formalized comprehensively by Rossi, van Beek, and Walsh in their 2006 Handbook of Constraint Programming, CP unifies propagation-based pruning with intelligent backtracking search to tackle combinatorial problems across scheduling, planning, and configuration domains.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. 1 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: Constraint Programming · Tabu Search. 于 2026-06-15 检索自 https://scholargate.app/zh/compare