Hybrid Metaheuristics : 10th International Workshop, HM 2016, Plymouth, UK, June 8-10, 2016, Proceedings / edited by Maria J. Blesa, Christian Blum, Angelo Cangelosi, Vincenzo Cutello, Alessandro Di Nuovo, Mario Pavone, El-Ghazali Talbi.

Format:

Book

Contributor:

Blesa, María J., editor.

Blum, C. (Christian), editor.

Cangelosi, Angelo, editor.

Cutello, Vincenzo, editor.

Di Nuovo, Alessandro, editor.

Pavone, Mario, editor.

Talbi, El-Ghazali, 1965- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 9668.

Theoretical Computer Science and General Issues ; 9668

Language:

English

Subjects (All):

Artificial intelligence.

Numerical analysis.

Algorithms.

Computers.

Computer science--Mathematics.

Computer science.

Logic, Symbolic and mathematical.

Artificial Intelligence.

Numeric Computing.

Algorithm Analysis and Problem Complexity.

Computation by Abstract Devices.

Discrete Mathematics in Computer Science.

Mathematical Logic and Formal Languages.

Local Subjects:

Artificial Intelligence.

Numeric Computing.

Algorithm Analysis and Problem Complexity.

Computation by Abstract Devices.

Discrete Mathematics in Computer Science.

Mathematical Logic and Formal Languages.

Physical Description:

1 online resource (XII, 223 pages) : 70 illustrations.

Edition:

First edition 2016.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2016.

System Details:

text file PDF

Summary:

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. The selected papers are of interest for all the researchers working on integrating metaheuristics with other areas for solving both optimization and constraint satisfaction problems. They represent as well a sample of current research demonstrating how metaheuristics can be integrated with integer linear programming and other operational research techniques for tackling difficult and relevant problems.

Contents:

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.-.

Other Format:

Printed edition:

ISBN:

978-3-319-39636-1

9783319396361

Access Restriction:

Restricted for use by site license.