Iterative computer algorithms with applications in engineering

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