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Iterative Computer Algorithms with Applications in Engineering Solving Combinatorial Optimization Problems by Sadiq M. Sait

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Published by Wiley-IEEE Computer Society Pr .
Written in

Subjects:

  • Engineering: general,
  • Mathematical theory of computation,
  • Software engineering,
  • Programming - General,
  • Computer Engineering,
  • Algorithms (Computer Programming),
  • Engineering Mathematics,
  • Computers,
  • Computers - General Information,
  • Computer Books: Languages,
  • Data processing,
  • Applied,
  • Combinatorics,
  • Computers / Computer Engineering,
  • Computers / Programming / Software Development,
  • Mathematics-Applied,
  • Mathematics-Combinatorics,
  • Programming - Software Development,
  • Combinatorial optimization

Book details:

The Physical Object
FormatPaperback
Number of Pages410
ID Numbers
Open LibraryOL8067354M
ISBN 100769501001
ISBN 109780769501000

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Iterative Computer Algorithms with Applications in Engineering: Iterative Computer Algorithms with Applications in Engineering: Solving Combinatorial Optimization Problems Sqalli M and Asadullah S Optimizing OSPF routing using accelerated iterative heuristic Proceedings of the 8th WSEAS international conference on Artificial. Find helpful customer reviews and review ratings for Iterative Computer Algorithms with Applications in Engineering: Solving Combinatorial Optimization Problems at Read honest and unbiased product reviews from our users.4/5. (source: Nielsen Book Data) Summary 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. 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.

  An algorithm is a procedure or formula for solving a you want to repeat some steps in procedure you can opt Iterative algorithm or Recursive algorithm, but both may successfully accomplish the same task. An Iterative algorithm will u. Get this from a library! Iterative computer algorithms with applications in engineering: solving combinatorial optimization problems. [Sadiq M Sait; Habib Youssef] -- "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. This book intends to find applications in many areas of applied mathematics, engineering, computer science and real problems. As such, this monograph is suitable for researchers, graduate students and seminars in the above subjects, and it would be an excellent addition to all science and engineering libraries.   The book's results are expected to help find applications in many areas of applied mathematics, engineering, computer science and real problems. As such, this monograph is suitable to researchers, graduate students and seminar instructors in the above subjects.

This iterative computer algorithms applications engineering solving, as one of the most working sellers here will entirely be among the best options to review. Questia Public Library has long been a favorite choice of librarians and scholars for research help. Providing the theoretical and practical knowledge needed to design and implement efficient parallel iterative algorithms, this book illustrates how to apply these algorithms to solve linear and nonlinear numerical problems in parallel environments, including local, distant, homogeneous, and heterogeneous clusters. Algorithms (ISSN ; CODEN: ALGOCH) is an open access journal of computer science, computational mathematics, artificial intelligence, automation and control systems, theory, methods and interdisciplinary applications, data and information systems, and software engineering. Algorithms provides an advanced forum for studies related to.   For these reasons, in many practical cases NLPPs are solved using iterative algorithms that are implemented on a computer. In this chapter we begin by first introducing a generic iterative algorithm for solving an unconstrained NLPP. We also introduce two broad approaches to solving constrained : Ramteen Sioshansi, Antonio J. Conejo.