Title: Iterative computer algorithms with applications in engineering
First published: 1999
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.
Subjects: Combinatorial optimization, Data processing, Engineering: general, Mathematical theory of computation, Software engineering, Programming - General, Computer Engineering, Algorithms (Computer Programming), Engineering Mathematics, Computers, Computers - General Information, Computer Books: Languages, Applied, Combinatorics, Computers / Computer Engineering, Computers / Programming / Software Development, Mathematics-Applied, Mathematics-Combinatorics, Programming - Software Development, Computer algorithms, Engineering, data processing, Computer science & combinatorics, Programming - general & miscellaneous, Mathematical programming & operations research, General software engineering
LC classification: QA402.5 .S23 1999