Hybrid Metaheuristics: Third International Workshop, HM 2006, Gran Canaria, Spain, October 13-14, 2006, Proceedings

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Francisco Almeida, María J. Blesa Aguilera, Christian Blum, José Marcos Moreno Vega, Melqu?des P?ez, Andrea Roli, MIchael Sampels
Springer Science & Business Media, Sep 29, 2006 - Computers - 191 pages
The International Workshop on Hybrid Metaheuristics reached its third edition with HM 2006. The active and successful participation in the past editions was a clear indication that the research community on metaheuristics and related areas felt the need for a forum to discuss speci?c aspects of hybridization of metaheuristics. The selection of papers for HM 2006 consolidated some of the mainstream issues that have emerged from the past editions. Firstly, there are prominent examples of e?ective hybrid techniques whose design and implementation were motivated by challenging real-world applications. We believe this is particularly important for two reasons: on the one hand, researchers are conscious that the primary goal of developing algorithms is to solve relevant real-life problems; on the other hand, the path towarde?cient solving methods for practical problems is a source of new outstanding ideas and theories. A second important issue is that the research community on metaheur- tics has become increasingly interested in and open to techniques and methods known from arti?cial intelligence (AI) and operations research (OR). So far, the most representative examples of such integration have been the use of AI/OR techniques as subordinates of metaheuristic methods. As a historical and - ymological note, this is in perfect accordance with the original meaning of a metaheuristic as a “general strategy controlling a subordinate heuristic. ” The awareness of the need for a sound experimental methodology is a third keypoint.
 

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Contents

A Unified View on Hybrid Metaheuristics
1
Packing Problems with Soft Rectangles
13
A Multipopulation Parallel Genetic Algorithm for Highly Constrained Continuous Galvanizing Line Scheduling
28
Improvement in the Performance of Island Based Genetic Algorithms Through Path Relinking
42
A Short Survey
57
An Iterated Local Search Heuristic for a Capacitated Hub Location Problem
70
Using Memory to Improve the VNS Metaheuristic for the Design of SDHWDM Networks
82
Multilevel Ant Colony Optimization for DNA Sequencing by Hybridization
94
A Case Study in the Integration of Constraint Programming and Local Search
110
A Reactive Greedy Randomized Variable Neighborhood Tabu Search for the Vehicle Routing Problem with Time Windows
124
Incorporating Inference into Evolutionary Algorithms for MaxCSP
139
Scheduling Social Golfers with Memetic Evolutionary Programming
150
Colour Reassignment in Tabu Search for the Graph Set TColouring Problem
162
Investigation of OneGo Evolution StrategyQuasiNewton Hybridizations
178
Author Index
192
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