Mathematical Optimization Terminology
eBook - PDF

Mathematical Optimization Terminology

  1. 349 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Mathematical Optimization Terminology

About this book

Mathematical Optimization Terminology takes into account multi-objective method considering the problems related to optimization in case of power distribution systems. It includes a short survey on model-based evolutionary algorithms and study on parameter optimization for support vector regression. This book also discusses about gradient-based cuckoo search for global optimization, a hybrid cuckoo search algorithm, extraction methods for uncertain inference rules by ant colony optimization, a benchmark test suite for evolutionary many-objective optimization, a hybrid SA-MFO algorithm for function optimization and engineering design problems and social group optimization (SGO).

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Yes, you can access Mathematical Optimization Terminology by Olga Moreira in PDF and/or ePUB format, as well as other popular books in Mathématiques & Mathématiques générales. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Arcler Press
Year
2019
eBook ISBN
9781774073780
Topic
Mathématiques
Subtopic
Mathématiques générales

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. DECLARATION
  5. ABOUT THE EDITOR
  6. TABLE OF CONTENTS
  7. List of Contributors
  8. List of Abbreviations
  9. Preface
  10. Chapter 1 A Hybrid Multi-objective Optimization Method Considering Optimization Problems in Power Distribution Systems
  11. Chapter 2 Model-based Evolutionary Algorithms: A Short Survey
  12. Chapter 3 Study on Parameter Optimization for Support Vector Regression in Solving the Inverse ECG Problem
  13. Chapter 4 Gradient-Based Cuckoo Search for Global Optimization
  14. Chapter 5 A Hybrid Cuckoo Search Algorithm with Nelder Mead Method for Solving Global Optimization Problems
  15. Chapter 6 Extraction Methods for Uncertain Inference Rules by Ant Colony Optimization
  16. Chapter 7 On the Effectiveness of Nature-Inspired Metaheuristic Algorithms for Performing Phase Equilibrium Thermodynamic Calculations
  17. Chapter 8 A Benchmark Test Suite for Evolutionary Many-objective Optimization
  18. Chapter 9 A Hybrid SA-MFO Algorithm for Function Optimization and Engineering Design Problems
  19. Chapter 10 Social Group Optimization (SGO): A New Population Evolutionary Optimization Technique
  20. Chapter 11 An Efficient Hybrid Algorithm for Multiobjective Optimization Problems with Upper and Lower Bounds in Engineering
  21. Index
  22. Back Cover