E-Book, Englisch, 267 Seiten, eBook
Chicano / Hu / García-Sánchez Evolutionary Computation in Combinatorial Optimization
1. Auflage 2016
ISBN: 978-3-319-30698-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings
E-Book, Englisch, 267 Seiten, eBook
Reihe: Theoretical Computer Science and General Issues
ISBN: 978-3-319-30698-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
A Hybrid Constructive Mat-Heuristic Algorithm
for The Heterogeneous Vehicle Routing Problem with Simultaneous Pick-up and
Delivery.- A Property Preserving Method for Extending a Single-Objective Problem
Instance to Multiple Objectives with Specific Correlations.- An Evolutionary
Approach to the Full Optimization of the Traveling Thief Problem.- Construct,
Merge, Solve & Adapt: Application to the Repetition-Free Longest Common
Subsequence Problem.- Deconstructing the Big Valley Search Space Hypothesis.- Determining
the Difficulty of Landscapes by PageRank Centrality in Local Optima Networks.- Efficient
Hill Climber for Multi-Objective Pseudo-Boolean Optimization.- Evaluating
Hyperheuristics and Local Search Operators for Periodic Routing Problems.- Evolutionary
Algorithms for Finding Short Addition Chains: Going the Distance.- Experimental
Evaluation of Two Approaches to Optimal Recombination for Permutation
Problems.- Hyperplane Elimination for Quickly Enumerating Local Optima.- Limits
to Learning in Reinforcement Learning Hyperheuristics.- Modifying Colourings
between Time-Steps to Tackle Changes in Dynamic Random Graphs.- Particle Swarm
Optimisation with Sequence-Like Indirect Representation for Web Service
Composition.- Particle Swarm Optimization for Multi-Objective Web Service
Location Allocation.- Sim-EDA: A Multipopulation Estimation of Distribution Algorithm
Based on Problem Similarity.- Solving the Quadratic Assignment Problem with
Cooperative Parallel Extremal Optimization.