Overview

Optimization problems in practice are diverse and evolve over time, giving rise to - quirements both for ready-to-use optimization software packages and for optimization software libraries, which provide more or less adaptable building blocks for app- cation-specific software systems. In order to apply optimization methods to a new type of problem, corresponding models and algorithms have to be “coded” so that they are accessible to a computer. One way to achieve this step is the use of a mod- ing language. Such modeling systems provide an excellent interface between models and solvers, but only for a limited range of model types (in some cases, for example, linear) due, in part, to limitations imposed by the solvers. Furthermore, while m- eling systems especially for heuristic search are an active research topic, it is still an open question as to whether such an approach may be generally successful. Modeling languages treat the solvers as a “black box” with numerous controls. Due to variations, for example, with respect to the pursued objective or specific problem properties, - dressing real-world problems often requires special purpose methods. Thus, we are faced with the difficulty of efficiently adapting and applying appropriate methods to these problems. Optimization software libraries are intended to make it relatively easy and cost effective to incorporate advanced planning methods in application-specific software systems. A general classification provides a distinction between callable packages, nume- cal libraries, and component libraries.

Full Product Details

Author:   Stefan Voß ,  David L. Woodruff
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2003
Volume:   18
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   0.575kg
ISBN:  

9781475775983

ISBN 10:   1475775989
Pages:   360
Publication Date:   28 March 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface. 1. Optimization Software Class Libraries; S. Voß, D.L. Woodruff. 2. Distribution, Cooperation, and Hybridization for Combinatorial Optimization; M.S. Jones, et al. 3. A Framework for Local Search Heuristics for Combinatorial Optimization Problems; A.A. Andreatta, et al. 4. HotFrame: A Heuristic Optimization Framework; A. Fink, S. Voß. 5. Writing Local Search Algorithms Using EasyLocal++; L. Di Gaspero, A. Schaerf. 6. Integrating Heuristic Search and One-Way Constraints in the iOpt Toolkit; C. Voudouris, R. Dorne. 7. The OptQuest Callable Library; M. Laguna, R. Martí. 8. A Constraint Programming Toolkit for Local Search; P. Shaw, et al. 9. The Modeling Language OPL - A Short Overview; P. Van Hentenryck, L. Michel. 10. Genetic Algorithm Optimization Software Class Libraries; A.R. Pain, C.R. Reeves. Abbreviations. References. Index.

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