Hybrid Metaheuristics : 6th International Workshop, HM 2009 Udine, Italy, October 16-17, 2009 Proceedings / edited by Christian Blum, Luca Gaspero, Andrea Roli, Michael Sampels, Andrea Schaerf.

Format:

Book

Contributor:

Blum, C. (Christian), editor.

Gaspero, Luca, editor.

Roli, Andrea, editor.

Sampels, Michael, 1969- editor.

Schaerf, Andrea, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 5818.

Theoretical Computer Science and General Issues ; 5818

Language:

English

Subjects (All):

Data mining.

Algorithms.

Information storage and retrieval.

Mathematical statistics.

Computers.

Data Mining and Knowledge Discovery.

Algorithm Analysis and Problem Complexity.

Information Storage and Retrieval.

Probability and Statistics in Computer Science.

Computation by Abstract Devices.

Local Subjects:

Data Mining and Knowledge Discovery.

Algorithm Analysis and Problem Complexity.

Information Storage and Retrieval.

Probability and Statistics in Computer Science.

Computation by Abstract Devices.

Physical Description:

1 online resource (X, 179 pages).

Edition:

First edition 2009.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 6th International Workshop on Hybrid Metaheuristics, HM 2009, held in Udine, Italy, in October 2009. The 12 revised full papers presented together with one invited talk were carefully reviewed and selected from 22 submissions. The papers discuss current issues of combinations of metaheuristics and other solving techniques of universal concern such as novel combinations of components from different metaheuristics, hybridization of metaheuristics and AI/OR techniques, low-level hybridization, high-level hybridization, portfolio techniques, expert systems, cooperative search, automated parameter tuning, empirical and statistical comparison, theoretical aspects of hybridization, parallelization, and software libraries.

Contents:

Hybrid Metaheuristic for the Assembly Line Worker Assignment and Balancing Problem

An ELSxPath Relinking Hybrid for the Periodic Location-Routing Problem

Hybridizing Beam-ACO with Constraint Programming for Single Machine Job Scheduling

Multiple Variable Neighborhood Search Enriched with ILP Techniques for the Periodic Vehicle Routing Problem with Time Windows

A Hybridization of Electromagnetic-Like Mechanism and Great Deluge for Examination Timetabling Problems

Iterative Relaxation-Based Heuristics for the Multiple-choice Multidimensional Knapsack Problem

Solving a Video-Server Load Re-Balancing Problem by Mixed Integer Programming and Hybrid Variable Neighborhood Search

Effective Hybrid Stochastic Local Search Algorithms for Biobjective Permutation Flowshop Scheduling

Hierarchical Iterated Local Search for the Quadratic Assignment Problem

Incorporating Tabu Search Principles into ACO Algorithms

A Hybrid Solver for Large Neighborhood Search: Mixing Gecode and EasyLocal ?+?+?

Multi-neighborhood Local Search for the Patient Admission Problem

Matheuristics: Optimization, Simulation and Control.

Other Format:

Printed edition:

ISBN:

978-3-642-04918-7

9783642049187

Access Restriction:

Restricted for use by site license.