OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems

✍ Scribed by Dimitri Knjazew (auth.)

• Publisher: Springer US
• Year: 2002
• Tongue: English
• Leaves: 164
• Series: Genetic Algorithms and Evolutionary Computation 6
• Edition: 1
• Category: Library

✦ Synopsis

OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems addresses two increasingly important areas in GA implementation and practice. OmeGA, or the ordering messy genetic algorithm, combines some of the latest in competent GA technology to solve scheduling and other permutation problems. Competent GAs are those designed for principled solutions of hard problems, quickly, reliably, and accurately. Permutation and scheduling problems are difficult combinatorial optimization problems with commercial import across a variety of industries.

This book approaches both subjects systematically and clearly. The first part of the book presents the clearest description of messy GAs written to date along with an innovative adaptation of the method to ordering problems. The second part of the book investigates the algorithm on boundedly difficult test functions, showing principled scale up as problems become harder and longer. Finally, the book applies the algorithm to a test function drawn from the literature of scheduling.

✦ Table of Contents

Front Matter....Pages i-xxi
Development of the Ordering Messy Genetic Algorithm....Pages 1-25
Performance Analysis of the Omega....Pages 27-49
Application to a Scheduling Problem....Pages 51-68
Conclusions and Future Work....Pages 69-70
Back Matter....Pages 71-152

✦ Subjects

Artificial Intelligence (incl. Robotics); Theory of Computation; Optimization