Meta-heuristic Optimization Techniques
eBook - ePub

Meta-heuristic Optimization Techniques

Applications in Engineering

  1. 202 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Meta-heuristic Optimization Techniques

Applications in Engineering

About this book

This book offers a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature-inspired algorithms. Their wide applicability makes them a hot research topic and an effi cient tool for the solution of complex optimization problems in various fi elds of sciences, engineering, and in numerous industries.

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Yes, you can access Meta-heuristic Optimization Techniques by Anuj Kumar, Sangeeta Pant, Mangey Ram, Om Yadav, Anuj Kumar,Sangeeta Pant,Mangey Ram,Om Yadav in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Application of particle swarm optimization technique in an interval-valued EPQ model

Subhendu Ruidas
Department of Mathematics, Sonamukhi College, Bankura, India
Mijanur Rahaman Seikh
Department of Mathematics, Kazi Nazrul University, Asansol, India
Prasun Kumar Nayak
Department of Mathematics, Midnapore College (Autonomous), Midnapore, India

Abstract

There are certain practical scenarios in the field of engineering, science, and management where the derivative-based methods or the gradient-based iterative methods for optimization fail because of the highly complex nature of the problem. The application of some heuristic or meta-heuristic search algorithms becomes fruitful in those scenarios to obtain the optimum solution. particle swarm optimization (PSO) technique is one such algorithm based on the hunting technique of a flock of beasts in the jungle. In this chapter, an economic production quantity (EPQ) model is developed under an imperfect production system allowing shortages. In reality, the screening procedure for finding out the defective items may not be 100% perfect. As a result, some faulty products may be counted as good products and may reach the customer resulting in a sales return. On the other hand, most of the existing EPQ models consider...

Table of contents

  1. Title Page
  2. Copyright
  3. Contents
  4. Nature-inspired metaheuristic algorithms for optimization
  5. An optimization approach for highway alignment using metaheuristic algorithms
  6. A method for solving bi-objective transportation problem under fuzzy environment
  7. Application of particle swarm optimization technique in an interval-valued EPQ model
  8. Optimization techniques used for designing economic electrical power distribution
  9. Meta-heuristic optimization techniques in navigation constellation design
  10. Correlation and heuristic analysis of polymer-modified concrete subjected to alternate wetting and drying
  11. q-Rung orthopair fuzzy entropy measure and its application in multi-attribute decision-making
  12. A fuzzy multi-criteria decision-making approach for crime linkage utilizing resemblance function under hesitant fuzzy environment
  13. Integrating novel-modified TOPSIS with central composite design to model and optimize O2 delignification process in pulp and paper industry
  14. Deep learning for satellite-based data analysis
  15. Index
  16. De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences