Evolutionary Computation in Combinatorial Optimization [electronic resource] : 7th European Conference, EvoCOP 2007, Valencia, Spain, April 11-13, 2007, Proceedings / edited by Carlos Cotta, Jano van Hemert.
Contributor(s): Cotta, Carlos [editor.] | van Hemert, Jano [editor.] | SpringerLink (Online service).
Material type: BookSeries: Theoretical Computer Science and General Issues: 4446Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007Edition: 1st ed. 2007.Description: XII, 244 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540716150.Subject(s): Computer science | Algorithms | Numerical analysis | Computer science -- Mathematics | Discrete mathematics | Theory of Computation | Algorithms | Numerical Analysis | Discrete Mathematics in Computer ScienceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.0151 Online resources: Click here to access onlineA New Local Search Algorithm for the DNA Fragment Assembly Problem -- A Hybrid Immune-Based System for the Protein Folding Problem -- A Genetic Algorithm for the Resource Renting Problem with Minimum and Maximum Time Lags -- A Probabilistic Beam Search Approach to the Shortest Common Supersequence Problem -- Genetic Algorithms for Word Problems in Partially Commutative Groups -- A GRASP and Branch-and-Bound Metaheuristic for the Job-Shop Scheduling -- Reducing the Size of Traveling Salesman Problem Instances by Fixing Edges -- Iterated k-Opt Local Search for the Maximum Clique Problem -- Accelerating Local Search in a Memetic Algorithm for the Capacitated Vehicle Routing Problem -- Evolutionary Algorithms for Real-World Instances of the Automatic Frequency Planning Problem in GSM Networks -- A New Metaheuristic for the Vehicle Routing Problem with Split Demands -- Generation of Tree Decompositions by Iterated Local Search -- Edge Assembly Crossover for the Capacitated Vehicle Routing Problem -- Tackling the Container Loading Problem: A Hybrid Approach Based on Integer Linear Programming and Genetic Algorithms -- A Population-Based Local Search for Solving a Bi-objective Vehicle Routing Problem -- Combining Lagrangian Decomposition with an Evolutionary Algorithm for the Knapsack Constrained Maximum Spanning Tree Problem -- Exact/Heuristic Hybrids Using rVNS and Hyperheuristics for Workforce Scheduling -- An Analysis of Problem Difficulty for a Class of Optimisation Heuristics -- A New Grouping Genetic Algorithm for the Quadratic Multiple Knapsack Problem -- A Hybrid Method for Solving Large-Scale Supply Chain Problems -- Crossover Operators for the Car Sequencing Problem.
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