UID:
almahu_9949972605502882
Umfang:
XI, 271 p.
,
online resource.
Ausgabe:
1st ed. 2005.
ISBN:
9783540319962
Serie:
Theoretical Computer Science and General Issues, 3448
Anmerkung:
An External Partial Permutations Memory for Ant Colony Optimization -- A Novel Application of Evolutionary Computing in Process Systems Engineering -- Choosing the Fittest Subset of Low Level Heuristics in a Hyperheuristic Framework -- An Attribute Grammar Decoder for the 01 MultiConstrained Knapsack Problem -- EvoGeneS, a New Evolutionary Approach to Graph Generation -- On the Application of Evolutionary Algorithms to the Consensus Tree Problem -- Analyzing Fitness Landscapes for the Optimal Golomb Ruler Problem -- Immune Algorithms with Aging Operators for the String Folding Problem and the Protein Folding Problem -- Multiobjective Quadratic Assignment Problem Solved by an Explicit Building Block Search Algorithm - MOMGA-IIa -- Lot-Sizing in a Foundry Using Genetic Algorithm and Repair Functions -- Estimation of Distribution Algorithms with Mutation -- Property Analysis of Symmetric Travelling Salesman Problem Instances Acquired Through Evolution -- Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring -- Application of the Grouping Genetic Algorithm to University Course Timetabling -- Self-Adapting Evolutionary Parameters: Encoding Aspects for Combinatorial Optimization Problems -- Population Training Heuristics -- Scatter Search Particle Filter to Solve the Dynamic Travelling Salesman Problem -- The Use of Meta-heuristics to Solve Economic Lot Scheduling Problem -- Making the Edge-Set Encoding Fly by Controlling the Bias of Its Crossover Operator -- Ant Algorithm for the Graph Matching Problem -- An Adaptive Genetic Algorithm for the Minimal Switching Graph Problem -- An Improved Simulated Annealing Method for the Combinatorial Sub-problem of the Profit-Based Unit Commitment Problem -- A New Hybrid GA/SA Algorithm for the Job Shop Scheduling Problem -- An AgentModel for Binary Constraint Satisfaction Problems.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783540253372
Weitere Ausg.:
Printed edition: ISBN 9783540809142
Sprache:
Englisch
URL:
https://doi.org/10.1007/b107115
