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.
| ISBN: | 9783540663676 |
| Publication date: | 4th August 1999 |
| Author: | Joachim Paul Walser |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 137 pages |
| Series: | Lecture Notes in Computer Science ; Lecture Notes in Artificial Intelligence |
| Genres: |
Artificial intelligence Maths for computer scientists Algorithms and data structures Business mathematics and systems Discrete mathematics Optimization Business applications |
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.
Integer Optimization by Local Search features in the following genres: Artificial intelligence, Maths for computer scientists, Algorithms and data structures, Business mathematics and systems, Discrete mathematics, Optimization, Business applications
Paperback. Not Available.
Integer Optimization by Local Search was written by Joachim Paul Walser and published by Springer an imprint of Springer Berlin Heidelberg
Integer Optimization by Local Search has 137 pages
Yes it is part of Lecture Notes in Computer Science ; Lecture Notes in Artificial Intelligence series