Matheuristics: Hybridizing Metaheuristics and Mathematical Programming

Vittorio Maniezzo · Thomas Stützle · Stefan Voß

2009年9月 · Annals of Information Systems 第 10 冊 · Springer Science & Business Media

電子書

270

頁數

評分和評論未經驗證瞭解詳情

關於這本電子書

Metaheuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics, and science in reasonable time frames, but finding exact solutions in these applications still poses a real challenge. However, because of advances in the fields of mathematical optimization and metaheuristics, major efforts have been made on their interface regarding efficient hybridization.

This edited book will provide a survey of the state of the art in this field by providing some invited reviews by well-known specialists as well as refereed papers from the second Matheuristics workshop to be held in Bertinoro, Italy, June 2008. Papers will explore mathematical programming techniques in metaheuristics frameworks, and especially focus on the latest developments in Mixed Integer Programming in solving real-world problems.

Topics to be covered will also include dual information and metaheuristics; metaheuristics for stochastic problems; MIP solvers as search components; decompositions and lower/upper bounds in metaheuristics/MIP codes (MH codes); and real-world case histories of successful MH applications.