Evolutionary Computation in Combinatorial Optimization: Lecture Notes in Computer Science
Editat de Leslie Pérez Cáceres, Sébastien Verelen Limba Engleză Paperback – 4 apr 2022
The 13 revised full papers presented in this book were carefully reviewed and selected from 28 submissions. They present recent theoretical and experimental advances in combinatorial optimization, evolutionary algorithms, and related research fields.
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Specificații
ISBN-13: 9783031041471
ISBN-10: 303104147X
Pagini: 224
Ilustrații: XIV, 209 p. 46 illus., 28 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.35 kg
Ediția:1st edition 2022
Editura: Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 303104147X
Pagini: 224
Ilustrații: XIV, 209 p. 46 illus., 28 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.35 kg
Ediția:1st edition 2022
Editura: Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
On Monte Carlo Tree Search for Weighted Vertex Coloring.- A RNN-based Hyper-heuristic for combinatorial problems.- Algorithm Selection for the Team Orienteering Problem.- Performance evaluation of a parallel ant colony optimization for the real-time train routing selection problem in large instances.- Deep Infeasibility Exploration Method for Vehicle Routing Problems.- Evolutionary Algorithms for the Constrained Two-Level Role Mining Problem.- Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling.- Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems.- A Beam Search for the Shortest Common Supersequence Problem Guided by an Approximate Expected Length Calculation.- Modeling the Costas Array Problem in QUBO for Quantum Annealing.- Penalty Weights in QUBO formulations: Permutation Problems.- PUBOi: a tunable benchmark with variable importance.- Stagnation Detection meets Fast Mutation.