Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications

Pratiksha Saxena (Gautam Buddha University, India), Dipti Singh (Gautam Buddha University, India) and Millie Pant (Indian Institute of Technology - Roorkee, India)



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.

Topics Covered
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



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