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Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications

Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications

Pratiksha Saxena, Dipti Singh, Millie Pant
Copyright: © 2016 |Pages: 403
ISBN13: 9781466698857|ISBN10: 1466698853|EISBN13: 9781466698864
DOI: 10.4018/978-1-4666-9885-7
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MLA

Saxena, Pratiksha, et al., editors. Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications. IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9885-7

APA

Saxena, P., Singh, D., & Pant, M. (Eds.). (2016). Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications. IGI Global. https://doi.org/10.4018/978-1-4666-9885-7

Chicago

Saxena, Pratiksha, Dipti Singh, and Millie Pant, eds. Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9885-7

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Optimization techniques have developed into a modern-day solution for real-world problems in various industries. As a way to improve performance and handle issues of uncertainty, optimization research becomes a topic of special interest across disciplines.

Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications presents the latest research trends and developments in the area of applied optimization methodologies and soft computing techniques for solving complex problems. Taking a multi-disciplinary approach, this critical publication is an essential reference source for engineers, managers, researchers, and post-graduate students.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Advances in Computational Intelligence and Robotics (ACIR) Book Series
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Editorial Advisory Board and List of Reviewers
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Preface
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Chapters
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Optimization Techniques for Problem Solving
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Applications of Optimization (Non-Soft Computing) Techniques
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Applications of Soft Computing Techniques
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Back Materials
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Compilation of References
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About the Contributors
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Index
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