Iterative Computer Algorithms with Applications in Engineering: Solving Combinatorial Optimization Problems
Sadiq M. Sait, Habib Youssef
Iterative Computer Algorithms with Applications in Engineering 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.
The unique features of this book are: An integrated and up-to-date description of iterative non-deterministic algorithms; Detailed descriptions of Simulated Evolution and Stochastic Evolution; A level of treatment suitable for first year graduate student and practicing engineers; Parallelization aspects and particular parallel implementations; A brief survey of recent research work; Graded exercises and an annotated bibliography in each chapter
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.
The unique features of this book are: An integrated and up-to-date description of iterative non-deterministic algorithms; Detailed descriptions of Simulated Evolution and Stochastic Evolution; A level of treatment suitable for first year graduate student and practicing engineers; Parallelization aspects and particular parallel implementations; A brief survey of recent research work; Graded exercises and an annotated bibliography in each chapter
Տարի:
2000
Հրատարակում:
1
Հրատարակչություն:
Wiley-IEEE Computer Society Pr
Լեզու:
english
Էջեր:
416
ISBN 10:
0769501001
ISBN 13:
9780769501000
Ֆայլ:
PDF, 2.08 MB
IPFS:
,
english, 2000
Amazon 
Barnes & Noble 
Bookshop.org
Ցանկանու՞մ եք գրախանութ ավելացնել: Խնդրում ենք կապնվել մեզ հետ support@z-lib.do միջոցով
File converter
Բացել որոնման արդյունքները
More benefits 
![S. N. Sivanandam & S. N. Deepa [Sivanandam, S. N. & Deepa, S. N.] — Introduction to Genetic Algorithms](https://s3proxy.cdn-zlib.se/covers200/collections/userbooks/18f163191153bb35b69ff898dbd73c27e51ae2f9f142c2cec80f1cf491a11ab1.jpg)
Հիմնական արտահայտություններ
Առնչվող հավաքածուներ
