Evolutionary Computation in Combinatorial Optimization: 23rd European Conference, EvoCOP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings: Lecture Notes in Computer Science, cartea 13987
Editat de Leslie Pérez Cáceres, Thomas Stützleen Limba Engleză Paperback – 31 mar 2023
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.
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Specificații
ISBN-13: 9783031300349
ISBN-10: 3031300343
Pagini: 245
Ilustrații: XIV, 245 p. 41 illus., 35 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.37 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031300343
Pagini: 245
Ilustrații: XIV, 245 p. 41 illus., 35 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.37 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
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.