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- Title Search Algorithms and Applications
- Author(s) Nashat Mansour
- Publisher: IN-TECH (April, 2011)
- License(s): Attribution 3.0 Unported (CC BY 3.0)
- Hardcover 494 pages
- eBook HTML, PDF
- Language: English
- ISBN-10: N/A
- ISBN-13: 978-953-307-156-5
- Share This:
Search algorithms aim to find solutions or objects with specified properties and constraints in a large solution search space or among a collection of objects. A solution can be a set of value assignments to variables that will satisfy the constraints or a sub-structure of a given discrete structure. In addition, there are search algorithms, mostly probabilistic, that are designed for the prospective quantum computer.
This book demonstrates the wide applicability of search algorithms for the purpose of developing useful and practical solutions to problems that arise in a variety of problem domains. Although it is targeted to a wide group of readers: researchers, graduate students, and practitioners, it does not offer an exhaustive coverage of search algorithms and applications. The chapters are organized into three parts: Population-based and quantum search algorithms, Search algorithms for image and video processing, and Search algorithms for engineering applications.
About the Authors-
N/A
- Algorithms and Data Structures
- Operations Research (OR), Linear Programming, Optimization, and Approximation
- Computational and Algorithmic Mathematics
- Computational Complexity
- Discrete Mathematics
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The book first describes the translation of observed ant behavior into working optimization algorithms. The Ant Colony Optimization is then introduced and viewed in the general context of combinatorial optimization.
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