Iterative computer algorithms with applications in engineering : solving combinatorial optimization problems / Sadiq M. Sait, Habib Youssef

Includes bibliographical references and index

Introduction -- Simulated annealing (SA) -- Generic algorithms (GAs) -- Tabu search (TS) -- Simulated evolution (SimE) -- Stochastic evolution (StocE) -- Hybrids and other issues

"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."--BOOK JACKET

"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