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. Pratiksha Saxena and Dipti Singh are faculty members of Gautam Buddha University in India. Millie Pant is a faculty member of the Indian Institute of Technology. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)
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.
