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| Titolo: |
Evolutionary Computation in Combinatorial Optimization [[electronic resource] ] : 20th European Conference, EvoCOP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Luís Paquete, Christine Zarges
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (244 pages) |
| Disciplina: | 005.432 |
| Soggetto topico: | Computer science—Mathematics |
| Computer networks | |
| Application software | |
| Computer science | |
| Discrete mathematics | |
| Mathematics of Computing | |
| Computer Communication Networks | |
| Computer and Information Systems Applications | |
| Theory of Computation | |
| Discrete Mathematics in Computer Science | |
| Persona (resp. second.): | PaqueteLuís |
| ZargesChristine | |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Evolutionary Computation in Combinatorial Optimization ![]() |
| ISBN: | 3-030-43680-2 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996418219503316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |