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Nature-Inspired Methods for Metaheuristics Optimization

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Cover of 'Nature-Inspired Methods for Metaheuristics Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Genetic Algorithms: A Mature Bio-inspired Optimization Technique for Difficult Problems
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    Chapter 2 Introduction to Genetic Algorithm with a Simple Analogy
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    Chapter 3 Interactive Genetic Algorithm to Collect User Perceptions. Application to the Design of Stemmed Glasses
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    Chapter 4 Differential Evolution and Its Application in Identification of Virus Release Location in a Sewer Line
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    Chapter 5 Artificial Bee Colony Algorithm and an Application to Software Defect Prediction
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    Chapter 6 Firefly Algorithm and Its Applications in Engineering Optimization
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    Chapter 7 Introduction to Shuffled Frog Leaping Algorithm and Its Sensitivity to the Parameters of the Algorithm
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    Chapter 8 Groundwater Management Using Coupled Analytic Element Based Transient Groundwater Flow and Optimization Model
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    Chapter 9 Investigation of Bacterial Foraging Algorithm Applied for PV Parameter Estimation, Selective Harmonic Elimination in Inverters and Optimal Power Flow for Stability
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    Chapter 10 Application of Artificial Immune System in Optimal Design of Irrigation Canal
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    Chapter 11 Biogeography Based Optimization for Water Pump Switching Problem
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    Chapter 12 Introduction to Invasive Weed Optimization Method
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    Chapter 13 Single-Level Production Planning in Petrochemical Industries Using Novel Computational Intelligence Algorithms
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    Chapter 14 A Multi-Agent Platform to Support Knowledge Based Modelling in Engineering Design
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    Chapter 15 Synthesis of Reference Trajectories for Humanoid Robot Supported by Genetic Algorithm
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    Chapter 16 Linked Simulation Optimization Model for Evaluation of Optimal Bank Protection Measures
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    Chapter 17 A GA Based Iterative Model for Identification of Unknown Groundwater Pollution Sources Considering Noisy Data
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    Chapter 18 Efficiency of Binary Coded Genetic Algorithm in Stability Analysis of an Earthen Slope
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    Chapter 19 Corridor Allocation as a Constrained Optimization Problem Using a Permutation-Based Multi-objective Genetic Algorithm
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    Chapter 20 The Constrained Single-Row Facility Layout Problem with Repairing Mechanisms
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    Chapter 21 Geometric Size Optimization of Annular Step Fin Array for Heat Transfer by Natural Convection
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    Chapter 22 Optimal Control of Saltwater Intrusion in Coastal Aquifers Using Analytical Approximation Based on Density Dependent Flow Correction
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    Chapter 23 Dynamic Nonlinear Active Noise Control: A Multi-objective Evolutionary Computing Approach
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    Chapter 24 Scheduling of Jobs on Dissimilar Parallel Machine Using Computational Intelligence Algorithms
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    Chapter 25 Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns
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    Chapter 26 Optimization of the GIS-Based DRASTIC Model for Groundwater Vulnerability Assessment
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Title
Nature-Inspired Methods for Metaheuristics Optimization
Published by
Springer International Publishing, November 2019
DOI 10.1007/978-3-030-26458-1
ISBNs
978-3-03-026457-4, 978-3-03-026458-1
Editors

Bennis, Fouad, Bhattacharjya, Rajib Kumar

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 10%
Student > Postgraduate 1 10%
Unknown 8 80%
Readers by discipline Count As %
Environmental Science 1 10%
Mathematics 1 10%
Unknown 8 80%