Nature-Inspired Methods for Metaheuristics Optimization

Algorithms and Applications in Science and Engineering

  • Fouad Bennis
  • Rajib Kumar Bhattacharjya

Part of the Modeling and Optimization in Science and Technologies book series (MOST, volume 16)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Algorithms

    1. Front Matter
      Pages 1-1
    2. Konstantinos L. Katsifarakis, Yiannis N. Kontos
      Pages 3-25
    3. Dilip Kumar, B. G. Rajeev Gandhi, Rajib Kumar Bhattacharjya
      Pages 93-103
    4. Vimal Savsani, Vivek Patel, Mohamed Tawhid
      Pages 183-202
    5. Dilip Kumar, B. G. Rajeev Gandhi, Rajib Kumar Bhattacharjya
      Pages 203-214
    6. Ricardo Mejía-Gutiérrez, Xavier Fischer
      Pages 245-263
  3. Applications

    1. Front Matter
      Pages 265-265
    2. Hriday Mani Kalita, Rajib Kumar Bhattacharjya, Arup Kumar Sarma
      Pages 283-302
    3. Apoorv P. Patwardhan, Rohan Patidar, Nithin V. George
      Pages 421-439
    4. Yann Briheche, Frederic Barbaresco, Fouad Bennis, Damien Chablat
      Pages 465-488
    5. Sahajpreet Kaur Garewal, Avinash D. Vasudeo, Aniruddha D. Ghare
      Pages 489-502

About this book


This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.


Ant Colony Optimization Analytical Hierarchical Process Biogeography Based Optimization Corridor Allocation Problems Design of irrigation canals Evolutionary algorithms Flower pollination optimization Facility layout problems Genetic Algorithms Harmony Search Interactive genetic algorithms Invasive weeds Leakages from sewers Memetic algorithms Nature inspired optimization Source identification problems Shuffled Frog Leaping Algorithm Swarm algorithms Unimodal and Multimodal functions Water cycle optimization

Editors and affiliations

  • Fouad Bennis
    • 1
  • Rajib Kumar Bhattacharjya
    • 2
  1. 1.Ecole Central de NantesNantes cedex 3France
  2. 2.Department of Civil EngineeringIndian Institute of Technology GuwahatiGuwahatiIndia

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-26457-4
  • Online ISBN 978-3-030-26458-1
  • Series Print ISSN 2196-7326
  • Series Online ISSN 2196-7334
  • Buy this book on publisher's site
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