Evolutionary Computation in Combinatorial Optimization -

Evolutionary Computation in Combinatorial Optimization

23rd European Conference, EvoCOP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings
Buch | Softcover
XIV, 245 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-30034-9 (ISBN)
69,54 inkl. MwSt
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.

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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XIV, 245 p. 41 illus., 35 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 403 g
Themenwelt Mathematik / Informatik Informatik Netzwerke
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Applications • Artificial Intelligence • combinatorial optimization • Communication Systems • Computer Science • conference proceedings • Correlation Analysis • evolutionary algorithms • Genetic algorithms • graph theory • Informatics • machine learning • Mathematics • Network Protocols • Optimization • Optimization Problems • Research • Signal Processing • Swarm intelligence
ISBN-10 3-031-30034-3 / 3031300343
ISBN-13 978-3-031-30034-9 / 9783031300349
Zustand Neuware
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