Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering

ISBN-13: 9783030264604 / Angielski / Miękka / 2021 / 502 str.

Fouad Bennis; Rajib Kumar Bhattacharjya

Spis treści

Part I: Algorithms

Chapter 1: Genetic algorithms: A mature bio-inspired optimization technique for difficult problems.

Konstantinos L. Katsifarakis and Yiannis N. Kontos

Chapter 2: Introduction to Genetic Algorithm with a Simple Analogy

Arup Kumar Sarma

Chapter 3: Interactive genetic algorithm to collect user perceptions. Application to the design of stemmed glasses

Poirson, E., Petiot, J.-F. and Blumenthal, D.

Chapter 4: Differential Evolution and its application in Identification of Virus Release Location in a Sewer Line

Rajeev Gandhi B.G. and R. K. Bhattacharjya

Chapter 5: Artificial Bee Colony Algorithm and An Application to Software Defect Prediction

Rustu Akay and Bahriye Akay

Chapter 6: Firefly Algorithm and its Applications in Engineering Optimization

Dilip Kumar, Rajeev Gandhi B.G. and Rajib Kumar Bhattacharjya

Chapter 7: Introduction to Shuffled Frog Leaping Algorithm and its Sensitivity to the Parameters of the Algorithm

Rajeev Gandhi B.G. and R.K. Bhattacharjya

Chapter 8: Groundwater Management using Coupled Analytic Element based Transient Groundwater Flow and Optimization Model

Komal Kumari and Anirban Dhar

Chapter 9: Investigation of Bacterial Foraging Algorithm applied for PV parameter estimation, Selective harmonic elimination in inverters and optimal power flow for stability

J.Prasanth Ram and N.Rajasekar

Chapter 10: Application of artificial immune system in Optimal Design of Irrigation Canal

Sirajul Islam and Bipul Talukdar

Chapter 11: Biogeography Based Optimization for Water Pump Switching Problem

Vimal Savsani, Vivek Patel and Mohamed Tawhid

Chapter 12: Introduction to Invasive Weed Optimization Method

Dilip Kumar, Rajeev Gandhi BG and Rajib Kumar Bhattacharjya

Chapter 13: Single-Level Production Planning in Petrochemical Industries using Novel Computational Intelligence Algorithms

Sandeep Singh Chauhanm and Prakash Kotecha

Chapter 14: A Multi-Agent platform to support knowledge based modelling in engineering Design

Ricardo Mejía-Gutiérrez and Xavier Fischer

Part II: Applications

Chapter 15: Synthesis of reference trajectories for humanoid robot supported by genetic algorithm

Teresa Zielinska

Chapter 16: Linked Simulation Optimization Model for Evaluation of Optimal Bank Protection Measures.

Hriday Mani Kalita, Rajib Kumar Bhattacharjya and Arup Kumar Sarma

Chapter 17: A GA Based Iterative Model for Identification of Unknown Groundwater Pollution Sources Considering Noisy Data

Leichombam Sophia and Rajib Kumar Bhattacharjya

Chapter 18: Efficiency of Binary Coded Genetic Algorithm in Stability Analysis of an Earthen Slope

Rajib Kumar Bhattacharjya

Chapter 19: Corridor allocation as a constrained optimization problem using a permutation-based multi-objective genetic algorithm

Zahnupriya Kalita· and Dilip Datta

Chapter 20: The constrained single-row facility layout problem with repairing mechanisms

Zahnupriya Kalita and Dilip Datta

Chapter 21: Geometric size optimization of annular step fin array for heat transfer by natural convection

Abhijit Deka·and Dilip Datta

Chapter 22: Optimal control of saltwater intrusion in coastal aquifers using analytical approximation based on density dependent flow correction

Selva B. Munusamy and Anirban Dhar

Chapter 23: Dynamic Nonlinear Active Noise Control: A Multi-Objective Evolutionary Computing Approach

Apoorv P. Patwardhan, Rohan Patidar and Nithin V. George

Chapter 24: Scheduling of Jobs on Dissimilar Parallel Machine using Computational Intelligence Algorithms

Remya Kommadath and Prakash Kotecha

Chapter 25: Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns

Yann Briheche, Frederic Barbaresco, Fouad Bennis and Damien Chablat

Chapter 26: Optimization of the GIS based DRASTIC model for Groundwater Vulnerability Assessment

Sahajpreet Kaur Garewal, Avinash D. Vasudeo and Aniruddha D Ghare

O autorze

Professor Fouad Bennis is a Professor of Mechanical Engineering and Director of the International Relations Department at the Ecole Centrale de Nantes. He received his Engineering Master Degree (1987) and PhD in robotics (1991) from the same University. He has been awarded with the Order of Academic Palms as a Chevalier and as a Commandeur in 2007 and 2016, respectively. His research at the Laboratory of Digital Sciences of Nantes (LS2N), Ecole Centrale de Nantes, is covering Multi-Disciplinary Optimization, Product and Process design, and Digital Human Modeling. In particular, he is dealing with: analysis of mechanical tolerance, robust, fuzzy and collaborative design, and integration of virtual reality in working environments He has achieved important results in studying human performance using virtual reality. He has gained 30 years of teaching and research experience. He is author of 13 book chapters and more than 150 peer-reviewed scientific publications in a number of renowned international journals and conference proceedings. 

Prof. Rajib Kumar Bhattacharjya is a Professor in the Department of Civil Engineering at the Indian Institute of Technology Guwahati, India. He received his Bachelor's and Master’s Degree in Civil Engineering from Gauhati University, India, in 1993 and 1995, respectively, and his Ph.D. in Civil Engineering from the Indian Institute of Technology Kanpur, India, in 2004. His research interests include classical and non-classical optimization methods, groundwater management, groundwater pollution control, and management of saltwater intrusion in coastal aquifers, as well as artificial neural networks and their applications in civil engineering. He has gained more than 20 years of teaching and research experience. He has authored more than 70 peer-reviewed scientific publications in renowned international journals and conference proceedings, and has served as a co-editor of  two recent books i.e. “Urban Hydrology, Watershed Management and Socio-Economic Aspects” and “Urban Ecology, Water Quality and Climate Change”, both published by Springer, in 2016 and 2018, respectively. At the Indian Institute of Technology Guwahati, he has taught courses on subsurface hydrology, hydrology, optimization methods, water resources planning and management, among others. He has also been a visiting professor at other institutes, including the Dalhousie University, in Halifax, Canada and the Ecole Centrale Nantes, in France. 

Blurb

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.