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Evolutionary computation in combinatorial optimization : 20th European Conference, EvoCOP 2020, held as part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings
- Author / Creator
- Conferences
- EvoCOP (Conference) (20th : 2020 : Seville, Spain)
- EVOSTAR (Conference) (2020 : Seville, Spain)
- Available as
- Online
- Summary
-
This book constitutes the refereed proceedings of the 20th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2020, held as part of Evo*2020, in Seville, Spain, i...
This book constitutes the refereed proceedings of the 20th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoMUSART and EvoApplications. The 14 full papers presented in this book were carefully reviewed and selected from 37 submissions. The papers cover a wide spectrum of topics, ranging from the foundations of evolutionary computation algorithms and other search heuristics, to their accurate design and application to combinatorial optimization problems.
Details
- Creator
- Luís Paquete, Christine Zarges (eds.)
- Format
- Books
- Language
- English
- Contributors
- Publication
-
- Cham, Switzerland : Springer, 2020
- Series
- Physical Details
-
- 1 online resource (xiv, 231 pages) : illustrations (some color)
- text file PDF
- ISBNs
- 9783030436797, 9783030436803, 9783030436810, 3030436802
- OCLC
- on1151353737
- Includes author index.
- Optimizing Prices and Periods in Time-of-use Electricity Tariff Design Using Bilevel Programming -- An Algebraic Approach for the Search Space of Permutations with Repetition -- A Comparison of Genetic Representations for Multi-Objective Shortest Path Problems on Multigraphs -- The Univariate Marginal Distribution Algorithm Copes well with Deception and Epistasis -- A Beam Search Approach to the Traveling Tournament Problem -- Cooperative Parallel SAT Local Search with Path Relinking -- Dynamic Compartmental Models for Large Multi-Objective Landscapes and Performance Estimation -- Fitness Landscape Analysis of Automated Machine Learning Search Spaces -- On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D -- A Grouping Genetic Algorithm for Multi Depot Pickup and Delivery Problems with Time Windows and Heterogeneous Vehicle Fleets -- MILPIBEA: Algorithm for Multi-Objective Features Selection in (Evolving) Software Product Lines -- A Group Genetic Algorithm for Resource Allocation in Container-Based Clouds -- The Local Optima Level in Chemotherapy Schedule Optimisation -- Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling