Meta Heuristics Book [PDF] Download

Download the fantastic book titled Meta Heuristics written by Ibrahim H. Osman, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Meta Heuristics", which was released on 06 December 2012. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Business & Economics genre.

Summary of Meta Heuristics by Ibrahim H. Osman PDF

Meta-heuristics have developed dramatically since their inception in the early 1980s. They have had widespread success in attacking a variety of practical and difficult combinatorial optimization problems. These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids. They incorporate concepts based on biological evolution, intelligent problem solving, mathematical and physical sciences, nervous systems, and statistical mechanics. Since the 1980s, a great deal of effort has been invested in the field of combinatorial optimization theory in which heuristic algorithms have become an important area of research and applications. This volume is drawn from the first conference on Meta-Heuristics and contains 41 papers on the state-of-the-art in heuristic theory and applications. The book treats the following meta-heuristics and applications: Genetic Algorithms, Simulated Annealing, Tabu Search, Networks & Graphs, Scheduling and Control, TSP, and Vehicle Routing Problems. It represents research from the fields of Operations Research, Management Science, Artificial Intelligence and Computer Science.


Detail About Meta Heuristics PDF

  • Author : Ibrahim H. Osman
  • Publisher : Springer Science & Business Media
  • Genre : Business & Economics
  • Total Pages : 676 pages
  • ISBN : 1461313619
  • PDF File Size : 52,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Meta-Heuristics

Meta-Heuristics
  • Publisher : Springer Science & Business Media
  • File Size : 50,9 Mb
  • Release Date : 06 December 2012
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Meta-heuristics have developed dramatically since their inception in the early 1980s. They have had widespread success in attacking a variety of practical and difficult combinatorial optimization problems. These families of

Handbook of Metaheuristics

Handbook of Metaheuristics
  • Publisher : Springer
  • File Size : 41,9 Mb
  • Release Date : 20 September 2018
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The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving

Meta-Heuristics

Meta-Heuristics
  • Publisher : Springer Science & Business Media
  • File Size : 47,9 Mb
  • Release Date : 06 December 2012
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Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97). The

Essentials of Metaheuristics (Second Edition)

Essentials of Metaheuristics (Second Edition)
  • Publisher : Unknown Publisher
  • File Size : 49,5 Mb
  • Release Date : 20 December 2012
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Interested in the Genetic Algorithm? Simulated Annealing? Ant Colony Optimization? Essentials of Metaheuristics covers these and other metaheuristics algorithms, and is intended for undergraduate students, programmers, and non-experts. The book

Metaheuristics

Metaheuristics
  • Publisher : John Wiley & Sons
  • File Size : 40,6 Mb
  • Release Date : 27 May 2009
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A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a

Search and Optimization by Metaheuristics

Search and Optimization by Metaheuristics
  • Publisher : Birkhäuser
  • File Size : 39,5 Mb
  • Release Date : 20 July 2016
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This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for search and optimization, including the latest trends in evolutionary algorithms and other forms of natural computing. Over 100 different types

An Introduction to Metaheuristics for Optimization

An Introduction to Metaheuristics for Optimization
  • Publisher : Springer
  • File Size : 46,6 Mb
  • Release Date : 02 November 2018
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The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and

Metaheuristics

Metaheuristics
  • Publisher : Springer Science & Business Media
  • File Size : 30,8 Mb
  • Release Date : 30 November 2003
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Combinatorial optimization is the process of finding the best, or optimal, so lution for problems with a discrete set of feasible solutions. Applications arise in numerous settings involving operations management