计算机科学
装箱问题
启发式
水准点(测量)
概括性
领域(数学分析)
旅行商问题
组合优化
集合(抽象数据类型)
理论计算机科学
数学优化
算法
数学
程序设计语言
箱子
数学分析
操作系统
心理学
地理
心理治疗师
大地测量学
作者
Gabriela Ochoa,Matthew Hyde,Tim Curtois,Pepe Vázquez-Rodríguez,James D. Walker,Michel Gendreau,Graham Kendall,Barry McCollum,Andrew J. Parkes,Sanja Petrović,Edmund Burke
标识
DOI:10.1007/978-3-642-29124-1_12
摘要
This paper presents HyFlex, a software framework for the development of cross-domain search methodologies. The framework features a common software interface for dealing with different combinatorial optimisation problems and provides the algorithm components that are problem specific. In this way, the algorithm designer does not require a detailed knowledge of the problem domains and thus can concentrate his/her efforts on designing adaptive general-purpose optimisation algorithms. Six hard combinatorial problems are fully implemented: maximum satisfiability, one dimensional bin packing, permutation flow shop, personnel scheduling, traveling salesman and vehicle routing. Each domain contains a varied set of instances, including real-world industrial data and an extensive set of state-of-the-art problem specific heuristics and search operators. HyFlex represents a valuable new benchmark of heuristic search generality, with which adaptive cross-domain algorithms are being easily developed and reliably compared.This article serves both as a tutorial and a as survey of the research achievements and publications so far using HyFlex.
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