Evolutionary Computation in Combinatorial Optimization
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Evolutionary Computation in Combinatorial Optimization
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Beschreibung
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.
Produktdetails
- Typ:
- Buch
- Einband:
- Taschenbuch
- Edition:
- 1
- Sprachen:
-
Original:
Englisch
- Seitenzahl:
-
288
- Herausgeber:
-
Springer
- Veröffentlichungsdatum:
-
2005-03-21
- ISBN / EAN:
-
9783540253372
- Gewicht:
-
441 g
- Maße:
-
16/24/2 cm
- GPSR-Herstellerreferenz:
-
[email protected]
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