عنوان

Evolutionary computation in combinatorial optimization :

(Number (ISBN

3642371973

(Number (ISBN

3642371981

(Number (ISBN

9783642371974

(Number (ISBN

9783642371981

Number

b567870

Title Proper

Evolutionary computation in combinatorial optimization :

General Material Designation

[Book]

Other Title Information

13th European Conference : proceedings

First Statement of Responsibility

EvoCOP 2013, Vienna, Austria, April 3-5, 2013 ; Martin Middendorf [und weitere] (eds.).

Place of Publication, Distribution, etc.

Heidelberg

Name of Publisher, Distributor, etc.

Springer

Date of Publication, Distribution, etc.

2013

Specific Material Designation and Extent of Item

273 Seiten : Illustrationen.

Series Title

Lecture notes in computer science, 7832

Text of Note

A Hyper-heuristic with a Round Robin Neighbourhood.- A Multiobjective Approach Based on the Law of Gravity and Mass Interactions for Optimizing Networks.- A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory.- A New Crossover for Solving Constraint Satisfaction Problems.- A Population-Based Strategic Oscillation Algorithm for Linear Ordering Problem with Cumulative Costs.- A Study of Adaptive Perturbation Strategy for Iterated Local Search.- Adaptive MOEA/D for QoS-Based Web Service Composition.- An Analysis of Local Search for the Bi-objective Bidimensional Knapsack Problem.- An Artificial Immune System Based Approach for Solving the Nurse Re-rostering Problem.- Automatic Algorithm Selection for the Quadratic Assignment Problem Using Fitness Landscape Analysis.- Balancing Bicycle Sharing Systems: A Variable Neighborhood Search Approach.- Combinatorial Neighborhood Topology Particle Swarm Optimization Algorithm for the Vehicle Routing Problem.- Dynamic Evolutionary Membrane Algorithm in Dynamic Environments.- From Sequential to Parallel Local Search for SAT.- Generalizing Hyper-heuristics via Apprenticeship Learning.- High-Order Sequence Entropies for Measuring Population Diversity in the Traveling Salesman Problem.- Investigating Monte-Carlo Methods on the Weak Schur Problem.- Multi-objective AI Planning: Comparing Aggregation and Pareto Approaches.- Predicting Genetic Algorithm Performance on the Vehicle Routing Problem Using Information Theoretic Landscape.- Single Line Train Scheduling with ACO.- Solving Clique Covering in Very Large Sparse Random Graphs by a Technique Based on k-Fixed Coloring Tabu Search.- Solving the Virtual Network Mapping Problem with Construction Heuristics, Local Search and Variable Neighborhood Descent.- The Generate-and-Solve Framework Revisited: Generating by Simulated Annealing.

Evolutionärer Algorithmus

Kombinatorische Optimierung

Metaheuristik

EvoCOP 2013, Vienna, Austria, April 3-5, 2013 ; Martin Middendorf [und weitere] (eds.).

Martin Middendorf

Electronic name

[Book]

Y