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

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...

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Bibliographic Details
Other Authors: Bennis, Fouad (Editor), Bhattacharjya, Rajib Kumar (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2020, 2020
Edition:1st ed. 2020
Series:Modeling and Optimization in Science and Technologies
Subjects:
Mechanics, Applied
Heat Engineering
Operations Research, Management Science
Operations Research
Industrial Engineering
Management Science
Thermodynamics
Water
Computational Intelligence
Heat Transfer
Engineering Mechanics
Industrial And Production Engineering
Mass Transfer
Engineering Thermodynamics, Heat And Mass Transfer
Hydrology
Production Engineering
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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
  • 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
  • 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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