Bennis F., Bhattacharjya R.K. (Eds.) Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering

Springer, 2020. — 503 p. — (Modeling and Optimization in Science and Technologies 16). — ISBN: 978-3-030-26457-4.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.Genetic Algorithms: A Mature Bio-inspired Optimization Technique for Difficult Problems
Introduction to Genetic Algorithm with a Simple Analogy
Interactive Genetic Algorithm to Collect User Perceptions. Application to the Design of Stemmed Glasses
Differential Evolution and Its Application in Identification of Virus Release Location in a Sewer Line
Artificial Bee Colony Algorithm and an Application to Software Defect Prediction
Firefly Algorithm and Its Applications in Engineering Optimization
Introduction to Shuffled Frog Leaping Algorithm and Its Sensitivity to the Parameters of the Algorithm
Groundwater Management Using Coupled Analytic Element Based Transient Groundwater Flow and Optimization Model
Investigation of Bacterial Foraging Algorithm Applied for PV Parameter Estimation, Selective Harmonic Elimination in Inverters and Optimal Power Flow for Stability
Application of Artificial Immune System in Optimal Design of Irrigation Canal
Biogeography Based Optimization for Water Pump Switching Problem
Introduction to Invasive Weed Optimization Method
Single-Level Production Planning in Petrochemical Industries Using Novel Computational Intelligence Algorithms
A Multi-Agent Platform to Support Knowledge Based Modelling in Engineering Design
Synthesis of Reference Trajectories for Humanoid Robot Supported by Genetic Algorithm
Linked Simulation Optimization Model for Evaluation of Optimal Bank Protection Measures
A GA Based Iterative Model for Identification of Unknown Groundwater Pollution Sources Considering Noisy Data
Efficiency of Binary Coded Genetic Algorithm in Stability Analysis of an Earthen Slope
Corridor Allocation as a Constrained Optimization Problem Using a Permutation-Based Multi-objective Genetic Algorithm
The Constrained Single-Row Facility Layout Problem with Repairing Mechanisms
Geometric Size Optimization of Annular Step Fin Array for Heat Transfer by Natural Convection
Optimal Control of Saltwater Intrusion in Coastal Aquifers Using Analytical Approximation Based on Density Dependent Flow Correction
Dynamic Nonlinear Active Noise Control: A Multi-objective Evolutionary Computing Approach
Scheduling of Jobs on Dissimilar Parallel Machine Using Computational Intelligence Algorithms
Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns
Optimization of the GIS-Based DRASTIC Model for Groundwater Vulnerability Assessment