Hybrid Metaheuristics

10th International Workshop, HM 2016, Plymouth, UK, June 8-10, 2016, Proceedings

Häftad, Engelska, 2016

AvMaria J. Blesa,Christian Blum,Angelo Cangelosi,Vincenzo Cutello,Alessandro Di Nuovo,Mario Pavone,El-Ghazali Talbi

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This book constitutes the refereed proceedings of the 10th International Workshop on Hybrid Metaheuristics, HM 2016, held in Plymouth, UK, in June 2016. The 15 revised full papers presented were carefully reviewed and selected from 43 submissions.

Produktinformation

Utgivningsdatum2016-05-24
Mått155 x 235 x 13 mm
Vikt365 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor223
FörlagSpringer International Publishing AG
ISBN9783319396354

Tillhör följande kategorier

Finding Uniquely Hamiltonian Graphs of Minimum Degree Three with Small Crossing Numbers.- Construct, Merge, Solve and Adapt: Application to Unbalanced Minimum Common String Partition.- Variable Neighbourhood Descent with Memory: A Hybrid Metaheuristic for Supermarket Resupply.- Hybridization as Cooperative Parallelism for the Quadratic Assignment Problem.- Investigating Edge-Reordering Procedures in a Tabu Search Algorithm for the Capacitated Arc Routing Problem.- Multi-chaotic Approach for Particle Acceleration in PSO.- Districting and Routing for Security Control.- A GRASP/VND Heuristic for a Generalized Ring Star Problem.- Neighborhood Composition Strategies in Stochastic Local Search.- A Hybrid Multi-objective Evolutionary Approach for Optimal Path Planning of a Hexapod Robot: A Preliminary Study.- Hybridization of Chaotic Systems and Success-History Based Adaptive Differential Evolution.- Tabu Search Hybridized with Multiple Neighborhood Structures for the Frequency Assignment Problem.- The Capacitated m Two-Node Survivable Star Problem: A Hybrid Metaheuristic Approach.- Robust Berth Allocation Using a Hybrid Approach Combining Branch-and-cut and the Genetic Algorithm.- Dealing with the Strategic Level of Decisions Related to Automated Transit Networks: A Hybrid Heuristic Approach.- DEEPSAM: A Hybrid Evolutionary Algorithm for the Prediction of Biomolecules Structure.-