Metaheuristic Optimization via Memory and Evolution Tabu Search and
Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization problems, and have had a variety of applications in industry, science, and government. The goal of METAHEURISTIC OPTIMIZATION VIA
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OPERATIONS RESEARCH/COMPUTER SCIENCE INTERFACES SERIES Series Editors Professor Ramesh Sharda
Prof. Dr. Stefan VoB
Oklahoma State University
Universitat Hamburg
Other published titles in the series: Greenberg I A Computer-Assisted Analysis System for Mathematical Programming Models and Solutions: A User's Guide for ANALYZE Greenberg / Modeling by Object-Driven Linear Elemental Relations: A Users Guide for MODLER Brown & Scherer / Intelligent Scheduling Systems Nash & Sofer / The Impact of Emerging Technologies on Computer Science & Operations Research Barth / Logic-Based 0-1 Constraint Programming Jones / Visualization and Optimization Barr, Helgason & Kennington / Interfaces in Computer Science & Operations Research: Advances in Metaheuristics, Optimization, & Stochastic Modeling Technologies Ellacott, Mason & Anderson / Mathematics of Neural Networks: Models, Algorithms & Applications Woodruff IAdvances in Computational & Stochastic Optimization, Logic Programming, and Heuristic Search Klein / Scheduling of Resource-Constrained Projects Bierwirth /Adaptive Search and the Management of Logistics Systems Laguna & Gonzalez-Velarde / Computing Tools for Modeling, Optimization and Simulation Stilman / Linguistic Geometry: From Search to Construction Sakawa / Genetic Algorithms and Fuzzy Multiobjective Optimization Ribeiro & Hansen / Essays and Surveys in Metaheuristics Holsapple, Jacob & Rao / Business Modelling: Multidisciplinary Approaches — Economics, Operational and Information Systems Perspectives Sleezer, Wentling & CuddHuman Resource Development And Information Technology: Making Global Connections VoB & Woodruff / Optimization Software Class Libraries Upadhyaya et al / Mobile Computing: Implementing Pervasive Information and Communications Technologies Reeves & Rowe / Genetic Algorithms—Principles and Perspectives: A Guide to GA Theory Bhargava & Ye / Computational Modeling And Problem Solving In The Networked World: Interfaces in Computer Science & Operations Research Woodruff /Network Interdiction And Stochastic Integer Programming Anandalingam & Raghavan / Telecommunications Network Design And Management Laguna & Marti / Scatter Search: Methodology And Implementations In C Gosavi/ Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning KoutSOukis & Mitra / Decision Modelling And Information Systems: The Information Value Chain Milano / Constraint And Integer Programming: Toward a Unified Methodology Wilson & Nuzzolo / Schedule-Based Dynamic Transit Modeling: Theory and Applications Golden, Raghavan & Wasil / The Next Wave In Computing, Optimization, And Decision Technologies
Metaheuristic Optimization via Memory and Evolution Tabu Search and Scatter Search
edited by Cesar Rego and Bahrain Alidaee
Kluwer Academic Publishers Boston/Dordrecht/London
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