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Evolutionary computation in combinat...
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EvoCOP (Conference) (2020 :)
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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 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Evolutionary computation in combinatorial optimization/ edited by Luis Paquete, Christine Zarges.
Reminder of title:
20th European Conference, EvoCOP 2020, held as part of EvoStar 2020, Seville, Spain, April 15-17, 2020 : proceedings /
remainder title:
EvoCOP 2020
other author:
Paquete, Luis.
corporate name:
EvoCOP (Conference)
Published:
Cham :Springer International Publishing : : 2020.,
Description:
xiv, 231 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Evolutionary computation - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-030-43680-3
ISBN:
9783030436803
Evolutionary computation in combinatorial optimization = 20th European Conference, EvoCOP 2020, held as part of EvoStar 2020, Seville, Spain, April 15-17, 2020 : proceedings /
Evolutionary computation in combinatorial optimization
20th European Conference, EvoCOP 2020, held as part of EvoStar 2020, Seville, Spain, April 15-17, 2020 : proceedings /[electronic resource] :EvoCOP 2020edited by Luis Paquete, Christine Zarges. - Cham :Springer International Publishing :2020. - xiv, 231 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,121020302-9743 ;. - Lecture notes in computer science ;12102..
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.
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.
ISBN: 9783030436803
Standard No.: 10.1007/978-3-030-43680-3doiSubjects--Topical Terms:
582175
Evolutionary computation
--Congresses.
LC Class. No.: QA76.618 / .E86 2020
Dewey Class. No.: 006.3823
Evolutionary computation in combinatorial optimization = 20th European Conference, EvoCOP 2020, held as part of EvoStar 2020, Seville, Spain, April 15-17, 2020 : proceedings /
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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.
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EB QA76.618 .E86 2020
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