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100   $a20100301d2008      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aEvolutionary Computation in Combinatorial Optimization $e8th European Conference, EvoCOP 2008, Naples, Italy, March 26-28, 2008, Proceedings /$fedited by Jano van Hemert, Carlos Cotta
205   $a1st ed. 2008.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2008.
215   $a1 online resource (XII, 292 p.) 
225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4972
300   $aBibliographic Level Mode of Issuance: Monograph
311 08$a3-540-78603-1 
320   $aIncludes bibliographical references and index.
327   $aAdaptive Tabu Tenure Computation in Local Search -- A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems -- Cooperative Particle Swarm Optimization for the Delay Constrained Least Cost Path Problem -- Effective Neighborhood Structures for the Generalized Traveling Salesman Problem -- Efficient Local Search Limitation Strategies for Vehicle Routing Problems -- Evolutionary Local Search for the Minimum Energy Broadcast Problem -- Exploring Multi-objective PSO and GRASP-PR for Rule Induction -- An Extended Beam-ACO Approach to the Time and Space Constrained Simple Assembly Line Balancing Problem -- Graph Colouring Heuristics Guided by Higher Order Graph Properties -- A Hybrid Column Generation Approach for the Berth Allocation Problem -- Hybrid Metaheuristic for the Prize Collecting Travelling Salesman Problem -- An ILS Based Heuristic for the Vehicle Routing Problem with Simultaneous Pickup and Delivery and Time Limit -- An Immune Genetic Algorithm Based on Bottleneck Jobs for the Job Shop Scheduling Problem -- Improved Construction Heuristics and Iterated Local Search for the Routing and Wavelength Assignment Problem -- Improving Metaheuristic Performance by Evolving a Variable Fitness Function -- Improving Query Expansion with Stemming Terms: A New Genetic Algorithm Approach -- Inc*: An Incremental Approach for Improving Local Search Heuristics -- Metaheuristics for the Bi-objective Ring Star Problem -- Multiobjective Prototype Optimization with Evolved Improvement Steps -- Optimising Multiple Kernels for SVM by Genetic Programming -- Optimization of Menu Layouts by Means of Genetic Algorithms -- A Path Relinking Approach with an Adaptive Mechanism to Control Parameters for the Vehicle Routing Problem with Time Windows -- Reactive Stochastic LocalSearch Algorithms for the Genomic Median Problem -- Solving Graph Coloring Problems Using Learning Automata.
330   $aCoverage in this proceedings volume presents the latest research and details current developments and applications in metaheuristics, a paradigm to effectively solve difficult combinatorial optimization problems in industry, economics, and science.
410  0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4972
606   $aComputer science
606   $aAlgorithms
606   $aNumerical analysis
606   $aComputer science$xMathematics
606   $aDiscrete mathematics
606   $aTheory of Computation
606   $aAlgorithms
606   $aNumerical Analysis
606   $aDiscrete Mathematics in Computer Science
615  0$aComputer science.
615  0$aAlgorithms.
615  0$aNumerical analysis.
615  0$aComputer science$xMathematics.
615  0$aDiscrete mathematics.
615 14$aTheory of Computation.
615 24$aAlgorithms.
615 24$aNumerical Analysis.
615 24$aDiscrete Mathematics in Computer Science.
676   $a006.3
701   $aVan Hemert$b Jano$01754859
701   $aCotta$b Carlos$01752546
712 12$aEvoCOP (Conference)
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910485049503321
996   $aEvolutionary computation in combinatorial optimization$94191373
997   $aUNINA