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Nature-Inspired Methods for Metaheuristics Optimization Algorithms and Applications in Science and Engineering
Title
Nature-Inspired Methods for Metaheuristics Optimization [electronic resource] : Algorithms and Applications in Science and Engineering / edited by Fouad Bennis, Rajib Kumar Bhattacharjya.
ISBN
9783030264581
Edition
1st ed. 2020.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2020.
Physical Description
1 online resource (XIII, 502 p.) 252 illus., 110 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 24, 2020
Series
Modeling and Optimization in Science and Technologies, 16
Contents
Part I. Algorithms: 1. Genetic algorithms: A mature bio-inspired optimization technique for difficult problems
2. Introduction to Genetic Algorithm with a Simple Analogy
3. Interactive genetic algorithm to collect user perceptions. Application to the design of stemmed glasses
4. Differential Evolution and its application in Identification of Virus Release Location in a Sewer Line
5. Artificial Bee Colony Algorithm and An Application to Software Defect Prediction
6. Firefly Algorithm and its Applications in Engineering Optimization
7. Introduction to Shuffled Frog Leaping Algorithm and its Sensitivity to the Parameters of the Algorithm
8. Groundwater Management using Coupled Analytic Element based Transient Groundwater Flow and Optimization Model
9. Investigation of Bacterial Foraging Algorithm applied for PV parameter estimation, Selective harmonic elimination in inverters and optimal power flow for stability
10. Application of artificial immune system in Optimal Design of Irrigation Canal
11. Biogeography Based Optimization for Water Pump Switching Problem
12. Introduction to Invasive Weed Optimization Method
13. Single-Level Production Planning in Petrochemical Industries using Novel Computational Intelligence Algorithms
14. A Multi-Agent platform to support knowledge based modelling in engineering Design
Part II. Applications: 15. Synthesis of reference trajectories for humanoid robot supported by genetic algorithm
16. Linked Simulation Optimization Model for Evaluation of Optimal Bank Protection Measures
17. A GA Based Iterative Model for Identification of Unknown Groundwater Pollution Sources Considering Noisy Data
18. Efficiency of Binary Coded Genetic Algorithm in Stability Analysis of an Earthen Slope
19. Corridor allocation as a constrained optimization problem using a permutation-based multi-objective genetic algorithm
20. The constrained single-row facility layout problem with repairing mechanisms
21. Geometric size optimization of annular step fin array for heat transfer by natural convection
22. Optimal control of saltwater intrusion in coastal aquifers using analytical approximation based on density dependent flow correction
23. Dynamic Nonlinear Active Noise Control. A Multi-Objective Evolutionary Computing Approach
24. Scheduling of Jobs on Dissimilar Parallel Machine using Computational Intelligence Algorithms
25. Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns
26. Optimization of the GIS based DRASTIC model for Groundwater Vulnerability Assessment.
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