Swarm, Evolutionary, and Memetic Computing, Part II

Name: Swarm, Evolutionary, and Memetic Computing, Part II | Second International Conference, SEMCCO 2011, Visakhapatnam, India, December 19-21, 2011, Proceedings, Part II
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Second International Conference, SEMCCO 2011, Visakhapatnam, India, December 19-21, 2011, Proceedings, Part II

Bijata Ketan Panigraphi Ponnuthurai Nagaratnam Suganthan Swagatam Das Suresh Chandra Satapathy(Editor)

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Published on 14. December 2011

XXII, 332 pages

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978-3-642-27242-4 (ISBN)

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Content

Intro
Title Page
Preface
Organization
Table of Contents
Register Allocation via Graph Coloring Using an Evolutionary Algorithm
Introduction
Terminology
Related Work
The Proposed Approach (RAGCEA)
Coding
Fitness Function
Initial Population
Selection Method
Crossover and Mutation
Evaluation and Experimental Results
Conclusion
References
A Survey on Swarm and Evolutionary Algorithms for Web Mining Applications
Introduction
Analysis and Definitions
Web Mining Taxonomy
Web Mining in E-commerce
Business Intelligence
Algorithms /Approaches Discussed
The Clustering Algorithms
The Computational Intelligence(CI):
The SWARM Intelligence Techniques
Conclusion
References
Exploration Strategies for Learning in Multi-agent Foraging
Introduction
Related Literature
Random Search
Greedy
$$ -Greedy
Boltzmann Distribution
Simulated Annealing
Probability Matching
Optimistic Initial Values
Q-Learning
The Foraging Task
Experimental Procedures
Results and Discussion
Conclusions
References
Nurse Rostering Using Modified Harmony Search Algorithm
Introduction
Problem Description
Modified Harmony Search Algorithm for NRP
Experiments and Results
Conclusion and Future Work
References
A Swarm Intelligence Based Algorithm for QoS Multicast Routing Problem
Introduction
Problem Statement
A Hybrid ACO/PSO Algorithm Using Swarming Agents for Multicast Routing
Swarming Agents Architecture
Hybrid ACO/PSO Algorithm
Simulation Results
Conclusions
References
Test Data Generation: A Hybrid Approach Using Cuckoo and Tabu Search
Introduction
Background
Proposed Technique
Experimental Study
Conclusion
References
Selection of GO-Based Semantic Similarity Measures through AMDE for Predicting Protein-Protein Interactions
Introduction
GO-Based Semantic Similarity
Taxonomy-Based Semantic Similarity Measures
Graph-Based Similarity Measure [3]
Avg, Max, Rcmax [7]
Feature Selection Approach
Classical AMDE [8 ]
Feature Selection with AMDE
Proposed Study
Preparing the PPI Data Set
Preparing Non-interacting Protein Pairs
Protein Pair Semantic Similarity Measure
Feature Selection
Results and Discussion
Conclusion
References
Towards Cost-Effective Bio-inspired Optimization: A Prospective Study on the GPU Architecture
Introduction
Genetic Algorithms
The OpenCL Language and GPU Architecture
Experiments and Results
Conclusions
References
Cricket Team Selection Using Evolutionary Multi-objective Optimization
Introduction
Strategy and Optimization Methodology
Performance Measures
Batting Performance
Bowling Performance
Other Performance Measures
Bi-objective Optimization Results
Budget Sensitivity Analysis
Team Selections
Knee Point Approach
Conclusions
References
Data Clustering Using Harmony Search Algorithm
Introduction
Clustering Fundamentals
The Proposed Approach
Stage 1: Finding Near-Optimal Cluster Centers Using HS
Stage 2: C-Means Clustering
Experimental Results and Discussion
Description of the Datasets
FCM Experiments
HCM Experiments
Conclusion and Future Work
References
Application of Swarm Intelligence to a Two-Fold Optimization Scheme for Trajectory Planning of a Robot Arm
Introduction
Description of the Robot Arm
Lbest Particle Swarm Optimization
Formulation of Cost Function for via Point Determination
Minimization of Redundant Joint Rotations
Obstacle Avoidance
Formulation of Cost Function for Trajectory Planning
Experimental Results
Optimized Trajectory Generation
Optimizer Parameters
Performance Evaluation
Conclusions
References
Two Hybrid Meta-heuristic Approaches for Minimum Dominating Set Problem
Introduction
The Hybrid Genetic Algorithm
The ACO Local Search Algorithm
Experimental Results
Conclusions
References
Automatic Clustering Based on Invasive Weed Optimization Algorithm
Introduction
Basic Concepts
An Overview of Invasive Weed Optimization
Validity Index
IWO - Automatic Clustering Algorithm
Algorithm: IWO-Clustering
Solution (Weed) Representation and Initialization of the Population
Experimental Results
Datasets
Results
Minkowski Score
Conclusion
References
Classification of Anemia Using Data Mining Techniques
Introduction
Theoretical View
Decision Tree
C4.5 Decision Tree Algorithm
Support Vector Machine
Weka
Classification of Anemia
Methodology
Data Preprocessing and Data Cleaning
Attribute Selection
Feature Extraction and Classification
Evaluation
Conclusion
References
Taboo Evolutionary Programming Approach to Optimal Transfer from Earth to Mars
Introduction
Taboo Evolutionary Programming
Taboo Search (TS)
Evolutionary Programming (EP)
TEP Algorithm
Problem Formulation
Methodology
Computation of ?V
Results and Discussions
Conclusions
References
Solving Redundancy Optimization Problem with a New Stochastic Algorithm
Introduction
Problem Description
APPM
Main Method
Photosynthesis Operator
Phototropism Operator
BP Neural Network
Simulation Results
Conclusion
References
Energy Efficient Cluster Formation in Wireless Sensor Networks Using Cuckoo Search
Introduction
Literature Overview
Proposed Model
Cuckoo Search
Proposed Cuckoo Search
Simulation Results and Discussion
Conclusion
References
Data Clustering Based on Teaching-Learning-Based Optimization
Introduction
K-Means Clustering Algorithm
Teaching-Learning-Based Optimization
Teacher Phase
Learner Phase
TLBO Clustering
TLBO Algorithm for Clustering
Particle Swarm Optimization
PSO Clustering
gbest PSO Clustering Algorithm
Experimental Results
Conclusion
References
Extracting Semantically Similar Frequent Patterns Using Ontologies
Introduction
Related Work
Algorithm SSFPOA
Case Study
Conclusions and Future Work
References
Correlating Binding Site Residues of the Protein and Ligand Features to Its Functionality
Introduction
ZINC Database
Protein Ligand Interaction Database (PLID v1.1)
Can Binding Site Analysis Predict Protein Functional Classes?
Data Preparation
Feature Extraction
Enzyme Features
Ligand Features
Classification and Discussion
Conclusions
References
Non-linear Grayscale Image Enhancement Based on Firefly Algorithm
Introduction
Image Enhancement
The Firefly Algorithm
The Proposed Method
Experimental Results
Conclusion
References
Synthesis and Design of Thinned Planar Concentric Circular Antenna Array - A Multi-objective Approach
Introduction
General Description of NSGA-II
Design of Thinned Concentric Circular Array: The Proposed Multi-objective Framework
Simulation and Results
Conclusion
References
Soft Computing Based Optimum Parameter Design of PID Controller in Rotor Speed Control of Wind Turbines
Introduction
Wind Turbine
System Description
Wind Turbine Mathematical Model
The Problem Formulation and Controller Design Methodology
The Tuning of PID Controller Using Conventional Approach
The Tuning of PID Controller Using Soft Computing Based Approach
Simulation Results
Conclusion
References
Curve Fitting Using Coevolutionary Genetic Algorithms
Introduction
The Proposed Fitting Method
The Clustering Algorithm
The Coevolutionary Process
Experimental Results
Conclusions
References
A Parallel Hybridization of Clonal Selection with Shuffled Frog Leaping Algorithm for Solving Global Optimization Problems (P-AISFLA)
Introduction
Shuffled Frog Leaping Algorithm (SFLA)
Immune Optimization Algorithm (CLONALG)
Hybrid Algorithm Combination of SFLA and CLONALG (P-AISFLA)
Experiments and Results over Benchmark Functions
Conclusions
References
Non-uniform Circular-Shaped Antenna Array Design and Synthesis - A Multi-Objective Approach
Introduction
General Description of NSGA-II
Multi-Objective Formulation of the Design Problem
Simulations and Results
Conclusion
References
Supervised Machine Learning Approach for Bio-molecular Event Extraction
Introduction
Proposed Approach for Event Extraction
Features for Event Extraction
Datasets and Experimental Results
Datasets
Experimental Results
Conclusion
References
Design of Two Channel Quadrature Mirror Filter Bank: A Multi-Objective Approach
Introduction
General Description of NSGA-II
Multi-Objective Formulation of the Design Problem
Experiments and Results
Conclusion
References
Soft Computing Approach for Location Management Problem in Wireless Mobile Environment
Introduction
Problem Formulation
Literature Review
Proposed Bounded Vicinity Method
Results and Discussions
Simulations
Results
Calls per Mobility
Conclusions
References
Distribution Systems Reconfiguration Using the Hyper-Cube Ant Colony Optimization Algorithm
Introduction
Formulation of the Network Reconfiguration Problem for Loss Reduction
Ant Colony Optimization
Behavior of Real Ants
ACO Paradigm
Formulation of ACO in the Hyper-Cube (HC) Framework for Solving Minimum Loss Reconfiguration Problem
Worked Examples
Conclusion
References
Bacterial Foraging Optimization Algorithm Trained ANN Based Differential Protection Scheme for Power Transformers
Introduction
Modeling and Simulation
ATP Modeling of a Power Transformer
Simulation of Different Power Transformer Operating Conditions Using ATP
Bacterial Foraging Optimization
Basic Concepts
Bacterial Swarm Foraging for Optimization
Design and Development of the Proposed Protective Relaying Scheme
Algorithm of the Proposed Protective Relaying Scheme
Implementation of Proposed Protection Scheme Using MLFFNN Architecture
Implementation of Proposed Protection Scheme Using BFANN Architecture
Results and Discussion
MLFFNN Training Details
BFANN Training Details
Analysis of Results
Conclusion and Future Work
References
Reduced Order Modeling of Linear MIMO Systems Using Soft Computing Techniques
Introduction
Problem Formulation
Particle Swarm Optimization
PSO Model Order Reduction
Integral Square Error Minimization Technique (ISE)
Numerical Example
Comparisons of Reduced Order Models
Conclusion
References
Statistical and Fusion Based Hybrid Approach for Fault Signal Classification in Electromechanical System
Introduction
Principal of Sensor Fusion Architecture
Architecture of Real Time Dynamic Sensor Observer
Signal Preprocessing for STFT
Architecture of the Hybrid Multi Sensor Data Fusion
Conclusion
References
Steganalysis for Calibrated and Lower Embedded Uncalibrated Images
Introduction
Implementation Issues
Feature Extraction
SVM Prediction
Experimentation Result
Database of Images
Linear SVM
Conclusion and Future Work
References
An Efficient Feature Extraction Method for Handwritten Character Recognition
Introduction
Related Work
Proposed Feature Extraction Technique
Image Acquisition and Preprocessing
Cross-Corner Feature Extraction Technique
Classification Method
Results and Analysis
Conclusion
References
Optimized Neuro PI Based Speed Control of Sensorless Induction Motor
Introduction
Sensorless Vector Control
Neural Network Controller
Back Propogation Algorithm
Genetic Algorithm
PI Controller Design
Result Analysis
Simulated Result
Training Algorithm
Conclusion
References
Wavelet Based Fuzzy Inference System for Simultaneous Identification and Quantitation of Volatile Organic Compounds Using SAW Sensor Transients
Introduction
SAW Sensor Model for Transient Response Generation
Fuzzy Inference System
Simulation
Results and Discussion
Conclusion
References
Author Index

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Swarm, Evolutionary, and Memetic Computing, Part II

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