Metaheuristics progress in complex systems optimization /

Metaheuristics [electronic resource] : progress in complex systems optimization / edited by Karl F. Doerner [and others]

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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...

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Bibliographic Details
Online Access: Full Text (via Springer)
Corporate Author: Meta-Heuristics International Conference
Other Authors: Doerner, Karl F.
Format: Electronic Conference Proceeding eBook
Language:English
Published: New York : Springer, ©2007.
Series:Operations research/computer science interfaces series.
Subjects:
System analysis > Mathematics.
Mathematical optimization.
Economics.
Electronic data processing.
Information theory.
Operations research.
Table of Contents:
  • 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.

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