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Swarm, Evolutionary, and Memetic Computing

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Table of Contents

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    Book Overview
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    Chapter 1 Register Allocation via Graph Coloring Using an Evolutionary Algorithm
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    Chapter 2 A Survey on Swarm and Evolutionary Algorithms for Web Mining Applications
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    Chapter 3 Exploration Strategies for Learning in Multi-agent Foraging
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    Chapter 4 Nurse Rostering Using Modified Harmony Search Algorithm
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    Chapter 5 A Swarm Intelligence Based Algorithm for QoS Multicast Routing Problem
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    Chapter 6 Test Data Generation: A Hybrid Approach Using Cuckoo and Tabu Search
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    Chapter 7 Selection of GO-Based Semantic Similarity Measures through AMDE for Predicting Protein-Protein Interactions
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    Chapter 8 Towards Cost-Effective Bio-inspired Optimization: A Prospective Study on the GPU Architecture
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    Chapter 9 Cricket Team Selection Using Evolutionary Multi-objective Optimization
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    Chapter 10 Data Clustering Using Harmony Search Algorithm
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    Chapter 11 Application of Swarm Intelligence to a Two-Fold Optimization Scheme for Trajectory Planning of a Robot Arm
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    Chapter 12 Two Hybrid Meta-heuristic Approaches for Minimum Dominating Set Problem
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    Chapter 13 Automatic Clustering Based on Invasive Weed Optimization Algorithm
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    Chapter 14 Classification of Anemia Using Data Mining Techniques
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    Chapter 15 Taboo Evolutionary Programming Approach to Optimal Transfer from Earth to Mars
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    Chapter 16 Solving Redundancy Optimization Problem with a New Stochastic Algorithm
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    Chapter 17 Energy Efficient Cluster Formation in Wireless Sensor Networks Using Cuckoo Search
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    Chapter 18 Data Clustering Based on Teaching-Learning-Based Optimization
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    Chapter 19 Extracting Semantically Similar Frequent Patterns Using Ontologies
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    Chapter 20 Correlating Binding Site Residues of the Protein and Ligand Features to Its Functionality
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    Chapter 21 Non-linear Grayscale Image Enhancement Based on Firefly Algorithm
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    Chapter 22 Synthesis and Design of Thinned Planar Concentric Circular Antenna Array - A Multi-objective Approach
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    Chapter 23 Soft Computing Based Optimum Parameter Design of PID Controller in Rotor Speed Control of Wind Turbines
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    Chapter 24 Curve Fitting Using Coevolutionary Genetic Algorithms
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    Chapter 25 A Parallel Hybridization of Clonal Selection with Shuffled Frog Leaping Algorithm for Solving Global Optimization Problems (P-AISFLA)
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    Chapter 26 Non-uniform Circular-Shaped Antenna Array Design and Synthesis - A Multi-Objective Approach
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    Chapter 27 Supervised Machine Learning Approach for Bio-molecular Event Extraction
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    Chapter 28 Design of Two Channel Quadrature Mirror Filter Bank: A Multi-Objective Approach
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    Chapter 29 Soft Computing Approach for Location Management Problem in Wireless Mobile Environment
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    Chapter 30 Distribution Systems Reconfiguration Using the Hyper-Cube Ant Colony Optimization Algorithm
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    Chapter 31 Bacterial Foraging Optimization Algorithm Trained ANN Based Differential Protection Scheme for Power Transformers
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    Chapter 32 Reduced Order Modeling of Linear MIMO Systems Using Soft Computing Techniques
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    Chapter 33 Statistical and Fusion Based Hybrid Approach for Fault Signal Classification in Electromechanical System
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    Chapter 34 Steganalysis for Calibrated and Lower Embedded Uncalibrated Images
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    Chapter 35 An Efficient Feature Extraction Method for Handwritten Character Recognition
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    Chapter 36 Optimized Neuro PI Based Speed Control of Sensorless Induction Motor
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    Chapter 37 Wavelet Based Fuzzy Inference System for Simultaneous Identification and Quantitation of Volatile Organic Compounds Using SAW Sensor Transients
Attention for Chapter 20: Correlating Binding Site Residues of the Protein and Ligand Features to Its Functionality
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Chapter title
Correlating Binding Site Residues of the Protein and Ligand Features to Its Functionality
Chapter number 20
Book title
Swarm, Evolutionary, and Memetic Computing
Published by
Springer Berlin Heidelberg, January 2011
DOI 10.1007/978-3-642-27242-4_20
Book ISBNs
978-3-64-227241-7, 978-3-64-227242-4

B. Ravindra Reddy, T. Sobha Rani, S. Durga Bhavani, Raju S. Bapi, G. Narahari Sastry


Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Student > Ph. D. Student 1 33%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Agricultural and Biological Sciences 1 33%
Chemistry 1 33%