Iterative computer algorithms with applications in engineering
Subtitle: solving combinatorial optimization problems
By: Sadiq M. Sait, Habib Youssef
Contributors: Youssef, Habib
Publisher: IEEE Computer Society
Published: 1999
Place of publication: Los Alamitos, Calif
Language: eng
Number of pages: 387
Subjects: Combinatorial optimization -- Data processing
Description: "This book describes in-depth the five main iterative algorithms for solving hard combinatorial optimization problems: Simulated Annealing, Genetic Algorithms, Tabu Search, Simulated Evolution, and Stochastic Evolution. The authors present various iterative techniques and illustrate how they can be applied to solve several NP-hard problems.".

"For each algorithm the authors present the procedures of the algorithm parameter selection criteria convergence property analysis and parallelization. There are also several real-world examples that illustrate various aspects of the algorithms.

The book includes an introduction to fuzzy logic and its application in the formulation of multi-objective optimization problems, a discussion on hybrid techniques that combine features of heuristics, a survey of recent research work, and examples that illustrate required mathematical concepts."--BOOK JACKET.
Notes: Includes bibliographical references and index