Nature-Inspired Methods for Metaheuristics Optimization

<div><p>Part I: Algorithms</p>

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

<p>Konstantinos L. Katsifarakis and Yiannis N. Kontos</p>

<p>Chapter 2: Introduction to Genetic Algorithm with a Simple Analogy</p>

<p>Arup Kumar Sarma</p>

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

<p>Poirson, E., Petiot, J.-F. and Blumenthal, D.</p>

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

<p>Rajeev Gandhi B.G. and R. K. Bhattacharjya</p>

<p>Chapter 5: Artificial Bee Colony Algorithm and An Application to Software Defect Prediction</p>

<p>Rustu Akay and Bahriye Akay</p>

<p>Chapter 6: Firefly Algorithm and its Applications in Engineering Optimization</p>

Dilip Kumar, Rajeev Gandhi B.G. and Rajib Kumar Bhattacharjya<p></p>

<p>Chapter 7: Introduction to Shuffled Frog Leaping Algorithm and its Sensitivity to the Parameters of the Algorithm</p>

<p>Rajeev Gandhi B.G. and R.K. Bhattacharjya</p>

<p>Chapter 8: Groundwater Management using Coupled Analytic Element based Transient Groundwater Flow and Optimization Model</p>

<p>Komal Kumari and Anirban Dhar</p>

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

<p>J.Prasanth Ram and N.Rajasekar </p>

<p>Chapter 10: Application of artificial immune system in Optimal Design of Irrigation Canal</p>

<p>Sirajul Islam and Bipul Talukdar</p>

<p>Chapter 11: Biogeography Based Optimization for Water Pump Switching Problem</p>

<p>Vimal Savsani, Vivek Patel and Mohamed Tawhid</p>

<p>Chapter 12: Introduction to Invasive Weed Optimization Method</p>

<p>Dilip Kumar, Rajeev Gandhi BG and Rajib Kumar Bhattacharjya</p>

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

<p>Sandeep Singh Chauhanm and Prakash Kotecha</p>

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

<p>Ricardo Mejía-Gutiérrez and Xavier Fischer</p>

<p>Part II: Applications</p>

<p>Chapter 15: Synthesis of reference trajectories for humanoid robot supported by genetic algorithm</p>

<p>Teresa Zielinska</p>

<p>Chapter 16: Linked Simulation Optimization Model for Evaluation of Optimal Bank Protection Measures.</p>

<p>Hriday Mani Kalita, Rajib Kumar Bhattacharjya and Arup Kumar Sarma</p>

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

<p>Leichombam Sophia and Rajib Kumar Bhattacharjya</p>

<p>Chapter 18: Efficiency of Binary Coded Genetic Algorithm in Stability Analysis of an Earthen Slope</p>

<p>Rajib Kumar Bhattacharjya</p>

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

Zahnupriya Kalita· and Dilip Datta<p></p>

<p>Chapter 20: The constrained single-row facility layout problem with repairing mechanisms</p>

<p>Zahnupriya Kalita and Dilip Datta</p>

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

Abhijit Deka·and Dilip Datta<p></p>

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

<p>Selva B. Munusamy and Anirban Dhar</p>

<p>Chapter 23: Dynamic Nonlinear Active Noise Control: A Multi-Objective Evolutionary Computing Approach</p>

<p>Apoorv P. Patwardhan, Rohan Patidar and Nithin V. George</p>

<p>Chapter 24: Scheduling of Jobs on Dissimilar Parallel Machine using Computational Intelligence Algorithms</p>

<p>Remya Kommadath and Prakash Kotecha</p>

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

<p>Yann Briheche, Frederic Barbaresco, Fouad Bennis and Damien Chablat</p>

<p>Chapter 26: Optimization of the GIS based DRASTIC model for Groundwater Vulnerability Assessment</p>

<p>Sahajpreet Kaur Garewal, Avinash D. Vasudeo and Aniruddha D Ghare</p><br></div>