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Foundations of Computational Intelligence Volume 3

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Table of Contents

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    Book Overview
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    Chapter 1 Genetic Algorithms for the Use in Combinatorial Problems
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    Chapter 2 Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications
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    Chapter 3 Global Optimization Using Harmony Search: Theoretical Foundations and Applications
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    Chapter 4 Hybrid GRASP Heuristics
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    Chapter 5 Particle Swarm Optimization: Performance Tuning and Empirical Analysis
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    Chapter 6 Tabu Search to Solve Real-Life Combinatorial Optimization Problems: A Case of Study
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    Chapter 7 Reformulations in Mathematical Programming: A Computational Approach
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    Chapter 8 Graph-Based Local Elimination Algorithms in Discrete Optimization
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    Chapter 9 Evolutionary Approach to Solving Non-stationary Dynamic Multi-Objective Problems
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    Chapter 10 Turbulent Particle Swarm Optimization Using Fuzzy Parameter Tuning
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    Chapter 11 An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy
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    Chapter 12 Evolutionary Computing in Statistical Data Analysis
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    Chapter 13 Meta-heuristics for System Design Engineering
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    Chapter 14 Transgenetic Algorithm: A New Endosymbiotic Approach for Evolutionary Algorithms
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    Chapter 15 Multi-objective Team Forming Optimization for Integrated Product Development Projects
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    Chapter 16 Genetic Algorithms for Task Scheduling Problem
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    Chapter 17 PSO_Bounds: A New Hybridization Technique of PSO and EDAs
Attention for Chapter 2: Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications
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Chapter title
Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications
Chapter number 2
Book title
Foundations of Computational Intelligence Volume 3
Published by
Springer Berlin Heidelberg, January 2009
DOI 10.1007/978-3-642-01085-9_2
Book ISBNs
978-3-64-201084-2, 978-3-64-201085-9
Authors

Swagatam Das, Arijit Biswas, Sambarta Dasgupta, Ajith Abraham, Das, Swagatam, Biswas, Arijit, Dasgupta, Sambarta, Abraham, Ajith

Editors

Ajith Abraham, Aboul-Ella Hassanien, Patrick Siarry, Andries Engelbrecht

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 322 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 6 2%
Brazil 2 <1%
Mexico 2 <1%
United Kingdom 1 <1%
Japan 1 <1%
United States 1 <1%
Serbia 1 <1%
Unknown 308 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 91 28%
Student > Master 55 17%
Student > Bachelor 30 9%
Researcher 21 7%
Student > Postgraduate 15 5%
Other 64 20%
Unknown 46 14%
Readers by discipline Count As %
Engineering 125 39%
Computer Science 99 31%
Energy 9 3%
Agricultural and Biological Sciences 6 2%
Mathematics 5 2%
Other 19 6%
Unknown 59 18%