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Evolutionary Computation in Combinatorial Optimization 13th European Conference, EvoCOP 2013, Vienna, Austria, April 3-5, 2013. Proceedings  Cover Image E-book E-book

Evolutionary Computation in Combinatorial Optimization [electronic resource] : 13th European Conference, EvoCOP 2013, Vienna, Austria, April 3-5, 2013. Proceedings / edited by Martin Middendorf, Christian Blum.

Record details

  • ISBN: 9783642371981
  • Physical Description: XII, 275 p. 57 illus. online resource.
  • Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : 2013.
Subject: Computer science.
Computer software.
Electronic data processing.
Computational complexity.
Computer Science.
Numeric Computing.
Algorithm Analysis and Problem Complexity.
Discrete Mathematics in Computer Science.
Computation by Abstract Devices.

Electronic resources


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.

Additional Resources