Metaheuristics progress in complex systems optimization /
The aim of METAHEURISTICS: Progress in Complex Systems Optimization is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern co...
| Other Authors: | Doerner, Karl F., SpringerLink (Online service), Meta-Heuristics International Conference |
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| Format: | eBook |
| Language: | English |
| Published: |
New York :
Springer,
©2007.
New York : [2007] |
| Physical Description: |
1 online resource (xiv, 408 pages) : illustrations. |
| Series: |
Operations research/computer science interfaces series.
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| Subjects: |
| Summary: |
The aim of METAHEURISTICS: Progress in Complex Systems Optimization is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field. Highlighted are recent developments in the areas of Simulated Annealing, Path Relinking, Scatter Search, Tabu Search, Variable Neighborhood Search, Hyper-heuristics, Constraint Programming, Iterated Local Search, GRASP, bio-inspired algorithms like Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization or Swarm Intelligence, and several other paradigms. |
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| Item Description: |
Includes bibliographical references. Experiments using scatter search for the multidemand multidimensional knapsack problem / Lars Magnus Hvattum, Arne Løkketangen -- A scatter search heuristic for the fixed-charge multicommodity flow network design problem / Teodor Gabriel Crainic, Michel Gendreau -- Tabu search-based metaheuristic algorithm for large-scale set covering problems / Marco Caserta -- Log-truck scheduling with a tabu search strategy / Manfred Gronalt, Patrick Hirsch -- Solving the capacitated multi-facility weber problem by simulated annealing, threshold accepting and genetic algorithms / Necati Aras, Sadettin Yumusak, Kuban Altınel -- A memetic algorithms for the reviewer assignment problem / Alexander Schirrer, Karl F. Doerner, Richard F. Hartl -- GRASP with path-relinking for the TSP / Elizabeth F. Gouvea Goldbarg, Marco C. Goldbarg, Joao P.F. Farias -- Using a randomised iterative improvement algorithm with composite neighbourhood structures for the university course timetabling problem / Salwani Abdullah, Edmund K. Burke, Barry McCollum -- Variable neighborhood search for the probabilistic satisfiability problem / Dejan Jovanovic, Nenad Mladenovic, Zoran Ognjanovic -- The ACO/F-RACE algorithm for combinatorial optimization under uncertainty / Mauro Birattari, Prasanna Balaprakash, Marco Dorigo -- Adaptive control of genetic parameters for dynamic combinatorial problems / Abdunnaser Younes, Otman Basir, Paul Calamai -- A memetic algorithm for dynamic location problems / Joana Dias, M. Eugenia Captivo, Joao Clımaco -- Panmictic versus decentralized genetic algorithms for non-stationary problems / Enrique Alba, Juan F. Saucedo Badia, Gabriel Luque -- Particle swarm optimization and sequential sampling in noisy environments / Thomas Bartz-Beielstein, Daniel Blum-- Embedding a chained Lin-Kernighan algorithm into a distributed algorithm / Thomas Fischer, Peter Merz -- Exploring Grid implementations of parallel cooperative metaheuristics / Aleteia P.F. Araujo [and others] -- Using experimental design to analyze stochastic local search algorithms for multiobjective problems / Luıs Paquete, Thomas Stutzle, Manuel Lopez-Ibanez -- Distance measures and fitness-distance analysis for the capacitated vehicle routing problem / Marek Kubiak -- Tuning TABU search strategies via visual diagnosis / Steven Halim, Hoong Chuin Lau -- Solving vehicle routing using iOpt / Raphael Dorne, Patrick Mills, Chris Voudouris. The aim of METAHEURISTICS: Progress in Complex Systems Optimization is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field. Highlighted are recent developments in the areas of Simulated Annealing, Path Relinking, Scatter Search, Tabu Search, Variable Neighborhood Search, Hyper-heuristics, Constraint Programming, Iterated Local Search, GRASP, bio-inspired algorithms like Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization or Swarm Intelligence, and several other paradigms. English. |
| Physical Description: |
1 online resource (xiv, 408 pages) : illustrations. |
| Bibliography: |
Includes bibliographical references. |
| ISBN: |
9780387719214 0387719210 9780387719191 0387719199 6611043322 9786611043322 |