Iterative Computer Algorithms with Applications in Engineering by Habib Youssef

Page Updated:
Book Views: 10

Author
Habib Youssef
Publisher
John Wiley & Sons
Date of release
Pages
416
ISBN
9780769501000
Binding
Paperback
Illustrations
Format
PDF, EPUB, MOBI, TXT, DOC
Rating
5
46

Advertising

Get eBOOK
Iterative Computer Algorithms with Applications in Engineering

Find and Download Book

Click one of share button to proceed download:
Choose server for download:
Download
Get It!
File size:7 mb
Estimated time:3 min
If not downloading or you getting an error:
  • Try another server.
  • Try to reload page — press F5 on keyboard.
  • Clear browser cache.
  • Clear browser cookies.
  • Try other browser.
  • If you still getting an error — please contact us and we will fix this error ASAP.
Sorry for inconvenience!
For authors or copyright holders
Amazon Affiliate

Go to Removal form

Leave a comment

Book review

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


Readers reviews