Integer Optimization by Local Search
Author | : Joachim P. Walser |
Publisher | : Springer Science & Business Media |
Total Pages | : 146 |
Release | : 1999-08-04 |
ISBN-10 | : 9783540663676 |
ISBN-13 | : 3540663673 |
Rating | : 4/5 (673 Downloads) |
Download or read book Integer Optimization by Local Search written by Joachim P. Walser and published by Springer Science & Business Media. This book was released on 1999-08-04 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integer Optimization addresses a wide spectrum of practically important optimization problems and represents a major challenge for algorithmics. The goal of integer optimization is to solve a system of constraints and optimization criteria over discrete variables. Integer Optimization by Local Search introduces a new approach to domain-independent integer optimization, which, unlike traditional strategies, is based on local search. It develops the central concepts and strategies of integer local search and describes possible combinations with classical methods from linear programming. The surprising effectiveness of the approach is demonstrated in a variety of case studies on large-scale, realistic problems, including production planning, timetabling, radar surveillance, and sports scheduling. The monograph is written for practitioners and researchers from artificial intelligence and operations research.