Evolutionary Computation in Combinatorial Optimization : 23rd European Conference, EvoCOP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings / edited by Leslie Pérez Cáceres, Thomas Stützle.

Format:

Book

Contributor:

Pérez Cáceres, Leslie, editor.

Stützle, Thomas, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13987

Language:

English

Subjects (All):

Computer science--Mathematics.

Computer science.

Computer networks.

Artificial intelligence.

Mathematics of Computing.

Theory and Algorithms for Application Domains.

Computer Communication Networks.

Artificial Intelligence.

Local Subjects:

Mathematics of Computing.

Theory and Algorithms for Application Domains.

Computer Communication Networks.

Artificial Intelligence.

Physical Description:

1 online resource (258 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2023.

Summary:

This book constitutes the refereed proceedings of the 23rd European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2023, held as part of Evo*2023, in Brno, Czech Republic in April 2023, co-located with the Evo*2023 events: EvoMUSART, EvoApplications, and EuroGP. The 15 revised full papers presented in this book were carefully reviewed and selected from 32 submissions. They present recent theoretical and experimental advances in combinatorial optimization, evolutionary algorithms, and related research fields.

Contents:

Fairer comparisons for Travelling Salesman Problem solutions using Hash Functions

Application of Adapt-CMSA to the Two-Echelon Electric Vehicle Routing Problem with Simultaneous Pickup and Deliveries

Real-World Vehicle Routing using Adaptive Large Neighborhood Search

A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning

A memetic algorithm for deinterleaving pulse trains

Application of Negative Learning Ant Colony Optimization to the Far From Most String Problem

Monte Carlo Tree Search with Adaptive Simulation: a Case Study on Weighted Vertex Coloring

Evolutionary Strategies for the Design of Binary Linear Codes

A Policy-Based Learning Beam Search for Combinatorial Optimization

Cooperative Coevolutionary Genetic Programming Hyper Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing

OneMax is not the Easiest Function for Fitness Improvements

The Cost of Randomness in Evolutionary Algorithms: Crossover Can Save Random Bits

Multi-objectivization Relaxes Multi-funnel Structures in Singleobjective NK-landscapes

Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation

On the e_ect of solution representation and neighborhood definition in AutoML Fitness Landscapes.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Pérez Cáceres, Leslie Evolutionary Computation in Combinatorial Optimization

ISBN:

9783031300356

OCLC:

1374875844