Applied Nature-Inspired Computing: Algorithms and Case Studies

  • Nilanjan Dey
  • Amira S. Ashour
  • Siddhartha Bhattacharyya

Part of the Springer Tracts in Nature-Inspired Computing book series (STNIC)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Mahdi Khosravy, Neeraj Gupta, Nilesh Patel, Tomonobu Senjyu, Carlos A. Duque
    Pages 1-21
  3. Cristina Bianca Pop, Viorica Rozina Chifu, Nicolae Dragoi, Ioan Salomie, Emil Stefan Chifu
    Pages 41-70
  4. C. A. Moraes, E. J. De Oliveira, M. Khosravy, L. W. Oliveira, L. M. Honório, M. F. Pinto
    Pages 71-95
  5. Srikanth Reddy, Lokesh Panwar, B. K. Panigrahi, Rajesh Kumar, Ameena Saad AlSumaiti
    Pages 97-127
  6. V. Rajinikanth, Hong Lin, John Panneerselvam, N. Sri Madhava Raja
    Pages 177-197
  7. Quang Hung Do, Tran Trong Tuan, Luu Thi Thu Ha, Thi Thanh Hang Doan, Thi Van Anh Nguyen, Le Thanh Tan
    Pages 253-275

About this book


This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each.


Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.


Genetic Algorithms Particle Swarm Optimization Multi-Agent Systems Hybrid Optimization Methods Nature Inspired Computing Evolutionary Robotics

Editors and affiliations

  • Nilanjan Dey
    • 1
  • Amira S. Ashour
    • 2
  • Siddhartha Bhattacharyya
    • 3
  1. 1.Department of Information TechnologyTechno India College of TechnologyKolkataIndia
  2. 2.Department of Electronics and Electrical Communications Engineering, Faculty of EngineeringTanta UniversityTantaEgypt
  3. 3.Research and Development and Academic AffairsRCC Institute of Information TechnologyKolkataIndia

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