Iterative computer algorithms with applications in engineering - Info and Reading Options
solving combinatorial optimization problems
By Sadiq M. Sait and Habib Youssef
"Iterative computer algorithms with applications in engineering" was published by IEEE Computer Society in 1999 - Los Alamitos, Calif, it has 387 pages and the language of the book is English.
“Iterative computer algorithms with applications in engineering” Metadata:
- Title: ➤ Iterative computer algorithms with applications in engineering
- Authors: Sadiq M. SaitHabib Youssef
- Language: English
- Number of Pages: 387
- Publisher: IEEE Computer Society
- Publish Date: 1999
- Publish Location: Los Alamitos, Calif
“Iterative computer algorithms with applications in engineering” Subjects and Themes:
- 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
Edition Specifications:
- Pagination: xxii, 387 p. :
Edition Identifiers:
- The Open Library ID: OL16965221M - OL3526561W
- Online Computer Library Center (OCLC) ID: 42476064
- Library of Congress Control Number (LCCN): 99049500
- ISBN-10: 0769501001
- All ISBNs: 0769501001
AI-generated Review of “Iterative computer algorithms with applications in engineering”:
"Iterative computer algorithms with applications in engineering" Description:
The Open Library:
"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.
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