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Socio-cultural Inspired Metaheuristics

  • Anand J. Kulkarni
  • Pramod Kumar Singh
  • Suresh Chandra Satapathy
  • Ali Husseinzadeh Kashan
  • Kang Tai

Part of the Studies in Computational Intelligence book series (SCI, volume 828)

Table of contents

  1. Front Matter
    Pages i-x
  2. Kishor Marde, Anand J. Kulkarni, Pramod Kumar Singh
    Pages 1-25
  3. Palash Roychowdhury, Siddarth Mehra, Rishi Devarakonda, Prakhar Shrivastava, Siddharth Basu, Anand J. Kulkarni
    Pages 27-40
  4. Tamanna Jena, T. M. Rajesh, Mallanagouda Patil
    Pages 41-67
  5. Ishaan R. Kale, Anand J. Kulkarni, Suresh Chandra Satapathy
    Pages 121-135
  6. Mandar S. Sapre, Harsh Patel, Kishan Vaishnani, Raj Thaker, Apoorva S. Shastri
    Pages 137-149
  7. Apoorva S. Shastri, Aishwary Jagetia, Amit Sehgal, Meet Patel, Anand J. Kulkarni
    Pages 193-214
  8. Meeta Kumar, Anand J. Kulkarni
    Pages 241-265
  9. V. V. S. S. S. Chakravarthy, P. S. R. Chowdary, Suresh Chandra Satapathy, Jaume Anguera, Aurora Andújar
    Pages 267-302
  10. Back Matter
    Pages 303-303

About this book

Introduction

This book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods) and are inspired by natural and social tendencies observed in humans by which they learn from one another through social interactions. This book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial intelligence (AI) and computational intelligence fields.


Keywords

Socio-inspired Optimization Cultural Algorithms Socio-political Ideologies Evolutionary Optimization Nature-inspired Optimization

Editors and affiliations

  • Anand J. Kulkarni
    • 1
  • Pramod Kumar Singh
    • 2
  • Suresh Chandra Satapathy
    • 3
  • Ali Husseinzadeh Kashan
    • 4
  • Kang Tai
    • 5
  1. 1.Department of Mechanical Engineering, Symbiosis Institute of TechnologySymbiosis International (Deemed University)PuneIndia
  2. 2.ABV-Indian Institute of Information Technology and Management GwaliorGwaliorIndia
  3. 3.School of Computer EngineeringKalinga Institute of Industrial Technology (KIIT), Deemed to be UniversityBhubaneswarIndia
  4. 4.Faculty of Industrial and Systems EngineeringTarbiat Modares UniversityTehranIran
  5. 5.School of Mechanical and Aerospace EngineeringNanyang Technological UniversitySingaporeSingapore

Bibliographic information

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