Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications

Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications

Noted as an IGI Global Core Reference Title in Computer Science & IT for 2019.

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

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Algorithms
  • Computational Intelligence
  • Differential Evolution
  • Global optimization
  • Multi-Objective Optimization
  • Simulation Tools
Reviews & Statements

Editors Saxena, Singh, and Pant present readers with a collection of academic essays and scholarly articles focused on the use of contemporary and emerging optimization techniques as solutions for problems across various industries and industrial contexts. The editors have organized the sixteen contributions that make up the main body of the text in three parts devoted to contemporary and emerging applications of soft computing techniques, applications of optimization or non-soft computing techniques, and optimization techniques for problem solving.

– ProtoView Reviews
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Editor/Author Biographies
Pratiksha Saxena is an Assistant Professor in Mathematics Department, School of Applied Sciences, Gautam Buddha University, Greater Noida, India. She has fifteen years of teaching experience at graduation and post-graduation level. Research area is Non-linear programming and applications in animal diet formulation, Modeling, Simulation and optimization techniques. She has three books with international repute publications and a number of papers in national and international journals. She has developed several books for Calicut University and Maharshi Dayanad University. She has four patents/copyrights on her name. She is a member of several professional bodies, an organizing member of many conferences and published a number of articles of international repute magazine of her research area.
Dipti Singh received her M.Sc in Applied Mathematics from Indian Institute of Technology Roorkee, Roorkee in 2002. She received her Ph.D. degree in Optimization Techniques from Indian Institute of Technology Roorkee, Roorkee in 2007. She was on the faculties of Amity University, Noida and is currently working as Assistant Professor at Gautam Buddha University, Greater Noida. She has a good number of research papers in scientific journals and conferences of repute. Her research interests include optimization techniques, computational intelligence, and their application to real life engineering problems.
Millie Pant is Assistant Professor in the Department of applied science and engineering at Indian Institute of Technology Roorkee. She did her M.Sc. (Mathematics) from CCS University, Meerut and PhD from mathematics department of IIT Roorkee. Her areas of interest include Numerical optimization and operations research, Evolutionary Algorithms and Swarm Intelligence techniques. She has published 30 plus research papers in various journals and conferences of national and international repute.
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