Swarm, Evolutionary, and Memetic Computing

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

Bijaya Ketan Panigrahi Ponnuthurai Nagaratnam Suganthan Swagatam Das Suresh Chandra Satapathy(Editor)

Springer (Publisher)

Published on 15. December 2011

XXII, 754 pages

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978-3-642-27172-4 (ISBN)

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Content

Intro
Title page
Preface
Organization
Table of Contents
Design of Two-Channel Quadrature Mirror Filter Banks Using Differential Evolution with Global and Local Neighborhoods
Introduction
Formulation of Design Problems
DE with Global and Local Neighborhoods (DEGL)
Control Parameters in DEGL
Random Weight Factor
Advantage of Random Weight Factor
Design Problems
Parameter Initializations
Problem Examples
Discussion of Results
Conclusions
References
Differential Evolution with Modified Mutation Strategy for Solving Global Optimization Problems
Introduction
Basic DE
Proposed Modified DE (MDE)
Pseudo Code for MDE
Numerical Simulation and Comparisons
Experimental Setting
Performance Criteria
Simulated Results
Conclusions
References
Self-adaptive Cluster-Based Differential Evolution with an External Archive for Dynamic Optimization Problems
Introduction
Differential Evolution (DE) Algorithm
Mutation
Cross-Over
Selection Operation
Proposed Algorithm: SACDEEA
Initialization
Cluster Improvements
Performance Evaluation and Redistribution
Detection of Environmental Change and External Archive
Experimental Results
Test Problems
Parameter Settings
Conclusion
References
An Informative Differential Evolution with Self Adaptive Re-clustering Technique
Introduction
Related Research Works
Differential Evolution (DE) Algorithm
Mutation
Cross-Over
Selection Operation
Proposed Algorithm
Initialization
Information Exchange among Clusters
Local Search Technique
Parameters
Experimental Results
Conclusion
References
Differential Evolution for Optimizing the Hybrid Filter Combination in Image Edge Enhancement
Introduction
Hybrid Filters and Differential Evolution Algorithm
Hybrid Filters
Differential Evolution
Framework
Initialization of Population
Using Differential Evolution for Finding Optimal Hybrid Filter Combination
Experimentations and Results
Observation Tables
Conclusion and Future Work
References
Scheduling Flexible Assembly Lines Using Differential Evolution
Introduction
Differential Evolution
Problem Formulation
Objective Function
Assumptions
Constraints
DE Algorithm for FAL Scheduling Problem
Representation
Algorithm
Results and Discussion
Conclusion
References
A Differential Evolution Based Approach for Multilevel Image Segmentation Using Minimum Cross Entropy Thresholding
Introduction
Minimum Cross Entropy Thresholding
Recursive MCET
Differential Evolution (DE)
Experimental Results
Conclusion
References
Tuning of Power System Stabilizer Employing Differential Evolution Optimization Algorithm
Introduction
System Under Study
The Proposed Approach
Structure of the Power System Stabilizer
Problem Formulation
Overview of Differential Evolution Optimization Algorithm
Inilization
Mutation
Crossover
Selection
Results and Discussions
Application of DE
Simulation Results
Conclusion
References
Logistic Map Adaptive Differential Evolution for Optimal Capacitor Placement and Sizing
Introduction
Problem Formulation
Overview of Differential Evolution
Initialization
Mutation Operation
Crossover Operation
Selection Operation
Hybrid Differential Evolution Using Chaos Theory
Structure of Solutions
Simulation Results
Conclusions
References
Application of an Improved Generalized Differential Evolution Algorithm to Multi-objective Optimization Problems
Introduction
Multi-objective Differential Evolution
Implementation of I-GDE3 Algorithm
I-GDE3 Algorithm
Simulation Results
Standard Test Problems
Implementation of I-GDE3 to RPP Problem
Conclusion
References
Enhanced Discrete Differential Evolution to Determine Optimal Coordination of Directional Overcurrent Relays in a Power System
Introduction
Problem Formulation
Relay Characteristics
Relay Setting
Coordination Criteria
Enhanced Differential Evolution
Mutation Operation
Crossover Operation
Selection Operation
Enhanced Discrete DE
Simulation Results
System Data
Implementation of Enhanced Discrete Differential Evolution
Conclusion
References
Dynamic Thinning of Antenna Array Using Differential Evolution Algorithm
Introduction
Objective Function
Overview of Differential Evolution
Initialization
Mutation
Crossover
Selection
Application of Differential Evolution to Dynamic Array Thinning
Dynamic Array Thinning
Zoning Technique
Parameter Values Used for the Experiment
Experimental Results
Conclusion
References
A Quantized Invasive Weed Optimization Based Antenna Array Synthesis with Digital Phase Control
Introduction
Digital Phase Antenna Array
IWO and Its Proposed Modification
Classical IWO
The Quantized IWO
Experiments and Results
Minimum SLL Optimization
Conclusion
References
Optimal Power Flow for Indian 75 Bus System Using Differential Evolution
Introduction
Optimal Power Flow (OPF) Problem Formulation
Objective Functions
OPF Problem Constraints [8]
Overview of Differential Evolution
Initialization
Mutation
Crossover
Selection
Hybridized D.E and I.W.O with Population Exchange
Parameter Values Used for the Experiment
Results of the Algorithm Implementation
Conclusions
References
A Modified Differential Evolution Algorithm Applied to Challenging Benchmark Problems of Dynamic Optimization
Introduction
Overview of Differential Evolution
The pDEBQ Algorithm
Partial DE Scheme
Double Mutation Strategy
Exclusion Rule
Ageing Mechanism
Control Parameter
Experimental Settings
Parameter Settings
Experimental Results
Conclusion
References
PSO Based Memetic Algorithm for Unimodal and Multimodal Function Optimization
Introduction
Memetic Algorithm with GA and PSO as Local Search
Experimentation
Discussion
Conclusion
References
Comparison of PSO Tuned Feedback Linearisation Controller (FBLC) and PI Controller for UPFC to Enhance Transient Stability
Introduction
Transient Stability
Modeling of UPFC
UPFC Installed in SMIB System
Modeling of Shunt Converter
Modeling of Series Converter
Particle Swarm Optimisation
FBLC for UPFC
Simulation Results
CASE-I
CASE-II
Conclusion
References
A Nelder-Mead PSO Based Approach to Optimal Capacitor Placement in Radial Distribution System
Introduction
PSO and NM-PSO
Method 1: Particle Swarm Optimization (PSO)
Method 2: Nelder-Mead Particle Swarm Optimization (NM-PSO)
Bus Sensitivity
Problem Formulation
Operating Constraints
Results and Discussions
Candidate Bus Selection
Capacitor Placement at Buses
Conclusion
References
Comparative Performance Study of Genetic Algorithm and Particle Swarm Optimization Applied on Off-grid Renewable Hybrid Energy System
Introduction
Hybrid Test System Model
System Costs and Objective Function
Optimization Methods
Particle Swarm Optimization
Genetic Algorithm
Simulated Results and Comparative Study
Conclusion
References
An Efficient Algorithm for Multi-focus Image Fusion Using PSO-ICA
Introduction
Independent Component Analysis
Particle Swarm Optimization
Proposed PSO-ICA Algorithm for Multi-focus Image Fusion
Simulation Results
Conclusion
References
Economic Emission OPF Using Hybrid GA-Particle Swarm Optimization
Introduction
Problem Statement
Proposed Hybrid GA Particle Swarm Optimization
PSO Implementation
Problem Representation
Evaluation Function
Simulation Results
Conclusion
References
Application of Improved PSO Technique for Short Term Hydrothermal Generation Scheduling of Power System
Introduction
Problem Formulation
Objective Function
Particle Swarm Optimization
Proposed PSO Algorithm for Hydrothermal Scheduling
Test System and Results
Conclusion
References
Multi-objective Workflow Grid Scheduling Based on Discrete Particle Swarm Optimization
Introduction
Problem Definition: Workflow Grid Scheduling
Discrete Particle Swarm Optimization for Workflow Grid Scheduling
Multi Objective Optimization Algorithm Used
Simulation Results and Discussion
Performance Evaluation: GD, Spacing
Conclusion and Future Work
References
Solution of Economic Load Dispatch Problem Using Lbest-Particle Swarm Optimization with Dynamically Varying Sub-swarms
Introduction
Problem Description
ELD Formulation with Smooth Cost Function
ELD Formulation with Non-smooth Cost Function
An Overview of PSO Algorithm
Lbest-PSO with Dynamically Varying Sub-swarms
Results and Discussions
Six Unit System
Fifteen Unit System
Forty Unit System
Conclusion
References
Modified Local Neighborhood Based Niching Particle Swarm Optimization for Multimodal Function Optimization
Introduction
Niching Related Works
Crowding and Restricted Tournament Selection
Sharing and Clustering
Clearing
Speciation
Overview of the Proposed ML-NichePSO Algorithm
Description of the Proposed Algorithm
Experiments and Results
Numerical Benchmarks
Algorithms Compared
Performance Measure
Numerical Results
Population and Max_FEs Initialization
Analysis of Results
Conclusions
References
Constrained Function Optimization Using PSO with Polynomial Mutation
Introduction
Non-stationary Penalty Function
Particle Swarm Optimization (PSO)
PSO Based on Polynomial Mutation
Parameter Settings
Test Suite
Parameters
Simulation Results
Conclusions
References
Rank Based Hybrid Multimodal Fusion Using PSO
Introduction
The Proposed Fusion Methodology
Experimental Results
Conclusions
References
Grouping Genetic Algorithm for Data Clustering
Introduction
The Grouping Genetic Algorithm
Computational Results
Conclusions and Future Work
References
Genetic Algorithm for Optimizing Neural Network Based Software Cost Estimation
Introduction
Background
The COCOMO
Neural Network Based Cost Estimation
Framework
Performance Evaluation Metrics
GA for Optimization
Experimentations and Results
Conclusion and Future work
References
IAMGA: Intimate-Based Assortative Mating Genetic Algorithm
Introduction
Background
Standard Genetic Algorithms (SGAs)
Intimate Relationship
Gender
Related Works
Intimate-Based Assortative Mating Genetic Algorithm
Representation
Crossover
Infusion
Experimental Results
Conclusion and Future Works
References
SVR with Chaotic Genetic Algorithm in Taiwanese 3G Phone Demand Forecasting
Introduction
Methodology of SVRCGA Model
Support Vector Regression
Chaotic Genetic Algorithm in Selecting Parameters of the SVR Model
Numerical Examples
Data Set
Parameters Determination of the SVRCGA Model
Conclusion
References
Genetic Algorithm Assisted Enhancement in Pattern Recognition Efficiency of Radial Basis Neural Network
Introduction
Feature Extraction
Feature Modification by Genetic Evolution
RBF Neural Network Classifier
Validation Results
Conclusion
References
An Approach Based on Grid-Value for Selection of Parents in Multi-objective Genetic Algorithm
Introduction
Grid-Value Based Selection Scheme
Experimentation
Disscussion and Comparison of Results
Comparison Based on Simulation Speed
Rank Distribution
Comparison with Other Algorithm
Conclusion
References
A Novel Non-dominated Sorting Algorithm
Introduction
Background
Dominance and Pareto-Optimality
The Fast Non-dominated Sorting Algorithm of NSGA-II (K Deb et al.)
Proposed Algorithm
Novel-non-dominated-sort(P)
Minimization Example Problem: Min-Ex
Experimental Results and Complexity Analysis
Experimental Results
Complexity Analysis
Conclusion
References
Intelligent Genetic Algorithm for Generation Scheduling Under Deregulated Environment
Introduction
Profit Based Generation Scheduling (PBGS) Problem Formulation
Intelligent Genetic Algorithm Based PBGS
Encoding Scheme
Implementation of IGA to PBGS Problem
Economic Dispatch
Simulation Results
Conclusions
References
Impact of Double Operators on the Performance of a Genetic Algorithm for Solving the Traveling Salesman Problem
Introduction
Double Genetic Operators
Traveling Salesman Problem
Experiment Setup
Genetic Algorithm Used
Experimental Results
Conclusion
References
Parent to Mean-Centric Self-Adaptation in SBX Operator for Real-Parameter Optimization
Introduction
Simulated Binary Crossover (SBX)
Parent or Mean-Centric Recombination
Self-Adaptive SBX Operator
Results
Conclusions
References
Attribute Reduction in Decision-Theoretic Rough Set Models Using Genetic Algorithm
Introduction
Rough Sets and Decision Theoretic Rough Sets
Local Optimization Approach Using Discernibility Matrix Method
Global Optimization Approach Using Genetic Algorithm
Representation
Fitness Function
Proof of Fitness Function
Experiments
Conclusion
References
A Study of Decision Tree Induction for Data Stream Mining Using Boosting Genetic Programming Classifier
Introduction
Data Streams
Our Boosting Approach for Data Stream Classification
Fitness Function for Our Boosting GP Approach
Results
Conclusion
References
Bi-criteria Optimization in Integrated Layout Design of Cellular Manufacturing Systems Using a Genetic Algorithm
Introduction
Problem Description
Proposed Methodology
Solution Representation
Fitness Evaluation
GA Operators
Control Parameters
Results and Discussion
Conclusion and Scope for Future Research
References
Reconfigurable Composition of Web Services Using Belief Revision through Genetic Algorithm
Introduction
Related Work in Service Composition
Belief Revision
Belief Sets
Belief Revision in Service Composition
Belief Calculation
Reconfiguration of Web Service Composition
Running Example
Comparative Study
Conclusion
References
Neural Network Based Model for Fault Diagnosis of Pneumatic Valve with Dimensionality Reduction
Introduction
System Description
Fault Detection in Pneumatic Actuator
Proposed Approach for Fault Diagnosis
Selection of Input and Output Variables
Training Data Generation
Data Normalization
Dimensionality Reduction Using Principal Component Analysis
Results and Discussion
Conclusion
References
A CAD System for Breast Cancer Diagnosis Using Modified Genetic Algorithm Optimized Artificial Neural Network
Introduction
Methods
Mammographic Data Preprocessing
Texture Feature Extraction
Modified Genetic Algorithm
Classification Using MGA Tuned ANN
Conclusion
References
Application of ANN Based Pattern Recognition Technique for the Protection of 3-Phase Power Transformer
Introduction
Power System Simulation for Pattern Generation
Neural Network Design and Simulation
Network Architecture and Training
Testing algorithm
Network Performance and Numerical Results
Conclusion
References
Modified Radial Basis Function Network for Brain Tumor Classification
Introduction
Problem Definition
Proposed Modified Radial Basis Function Network (MRBFN) for Brain Tumor Classification
Proposed MRBFN Algorithm
MRBFN for Brain Tumor Classification
Discussion
Conclusion
References
Attribute Clustering and Dimensionality Reduction Based on In/Out Degree of Attributes in Dependency Graph
Introduction
Functional Dependency of the Attributes
Partitioning of Attributes and Reduct Formation
Results and Discussions
Conclusion
References
MCDM Based Project Selection by F-AHP & VIKOR
Introduction
Model Establishment
Fuzzy-AHP Method
VIKOR Method
Case Study
Conclusion
References
Nonlinear Time Series Modeling and Prediction Using Local Variable Weights RBF Network
Introduction
Problem Statement
Local Variable Weights RBFN
Model Identification
Parameter Classification
Initialization
Optimization
Parameters Updating
Results and Discussion
Modeling and Prediction of Mackey-Glass Time Series
Modeling and Prediction of EEC Time Series
Modeling and Prediction of the Box-Jenkins Gas Furnace Time Series
Conclusion
References
Detection of Disease Using Block-Based Unsupervised Natural Plant Leaf Color Image Segmentation
Introduction
The Algorithm Overview
Unsupervised Segmentation
Experimental Results
Conclusion
References
Measuring the Weight of Egg with Image Processing and ANFIS Model
Introduction
Materials and Methods
Hardware
Software
Adaptive Neuro-Fuzzy Inference System (ANFIS)
Results and Discussion
Conclusion
References
Palmprint Authentication Using Pattern Classification Techniques
Introduction
Feature Extraction
Gabor Filter
Principal Component Analysis (PCA)
Experimental Results
Verification Rate
Identification Rate
Conclusion
References
A Supervised Approach for Gene Mention Detection
Introduction
Proposed Approach
Support Vector Machine Framework for Gene Mention Detection
Named Entity Features
Datasets, Evaluation Results and Discussions
Datasets and Evaluation Technique
Results and Discussions
Conclusion and Future Works
References
Incorporating Fuzzy Trust in Collaborative Filtering Based Recommender Systems
Introduction
Fuzzy Trust Modeling
Incorporation of Fuzzy Trust in CF-RS
Fuzzy Trust Propagation and Aggregation Operators
Fuzzy Trust Based Recommendation Framework
Experimental Results
Design of Experiments
Results
Conclusions and Future Work
References
A Function Based Fuzzy Controller for VSC-HVDC System to Enhance Transient Stability of AC/DC Power System
Introduction
Mathematical Modeling in D-Q Frame of Reference
Synchronous Generator
Rectifire Station
Inverter Station
Control Scheme for VSC-HVDC System
PI Controller
Two-Rule Based PI Like Fuzzy Controller
Teaching-Learning Based Optimization (TLBO)
Simulation Result
Conclusion
References
A Bayesian Network Riverine Model Study
Introduction
Related Research
Data Location and Sobek Model
Performance Metric: Bin Prediction Accuracy
Discretization Optimization
Future Development
Conclusion
References
Application of General Type-2 Fuzzy Set in Emotion Recognition from Facial Expression
Introduction
Principles Used in the GT2FS Approach
Methodology
Experimental Details
Feature Extraction
Creating the Type-2 Fuzzy Face-Space
Emotion Recognition of an Unknown Facial Expression
Conclusion
References
Design of a Control System for Hydraulic Cylinders of a Sluice Gate Using a Fuzzy Sliding Algorithm
Introduction
System Description
Design of Fuzzy Sliding Controller
Fuzzy Sliding Position Controller
Fuzzy PI Synchronous Controller
Control System Output Algorithm
Simulation Results
Simulation for Extending the Stroke of 120 Seconds
Simulation for Retracting the Stroke of 120 Seconds
Conclusion
References
Rough Sets for Selection of Functionally Diverse Genes from Microarray Data
Introduction
Rough Set Based Gene Selection Algorithm
Generation of Equivalence Classes
Experimental Results and Discussions
Optimum Values of Parameters
Comparative Performance Analysis of Different Algorithms
Gene Ontology Based Analysis to Study Independency of Selected Genes
Conclusion
References
Quality Evaluation Measures of Pixel - Level Image Fusion Using Fuzzy Logic
Introduction
Image Fusion Using Wavelet Transform
Image Fusion Based on Fuzzy Logic
Fuzzy Logic in Image Processing
Steps Involved in Fuzzy Image Processing
Evaluation Measures
Image Quality Index
Fusion Factor
Fusion Symmetry
Fusion Index
Mutual Information Measure
Root Mean Square Error
Peak Signal to Noise Ratio
Entropy
The Experiment and Analysis
Conclusions
References
Load Frequency Control: A Polar Fuzzy Approach
Introduction
Conventional Controllers
Fuzzy Logic Controller
Fuzzy Rules
Polar Fuzzy Controller
Working of PFC
Application of Polar Fuzzy Logic Controller for LFC
Load Frequency Control of Single Area System
Load Frequency Control of Two Area System
CO-ordination OF PFC and Conventional Controllers of Multi-Area System
Conclusions
References
An Efficient Algorithm to Computing Max-Min Post-inverse Fuzzy Relation for Abductive Reasoning
Introduction
Fuzzy Max-Min Post-inverse Relation
Review
Proposed Computational and Approach to Fuzzy Max-Min Post-inverse Relation
Proposed Fuzzy Max-Min Post-inverse Computation Algorithm
Explanation of Algorithm I
Example
References
Fuzzy-Controlled Energy-Efficient Weight-Based Two Hop Clustering for Multicast Communicationin Mobile Ad Hoc Networks
Introduction
Overview of FEW-CA
Input Parameters of CE
Rule Bases of CE
Simulation Results
Conclusion
References
Automatic Extractive Text Summarization Based on Fuzzy Logic: A Sentence Oriented Approach
Introduction
Related Works
Proposed Works
Preprocessing
Feature Extraction
Sentence Scoring Using Fuzzy Inference
Evaluation and Results
Conclusion
References
An Improved CART Decision Tree for Datasets with Irrelevant Feature
Introduction
Related Work
Components of Randomized Gini Index
Random Sampling Method
Filter for Attribute Selection
Creating Weighted Vectors for Attributes
Inducing Decision Trees
Experiments on Synthetic and Real World Datasets
Synthetic Dataset
Real World UCI Datasets
Experimental Results
Results on UCI Datasets
Conclusion and Future Work
References
Fuzzy Rough Set Approach Based Classifier
Introduction
Fuzzy Rough Set Approach Concept
Fuzzy Information System
System Overview
Discernibility Vector
Attribute Value Core of Every Object
Rule Induction from Attribute Value Reduction Table
Experimental Results
Comparison of Accuracy with Fuzzy Rough Set Approach Based Classifier
Conclusion
References
Proposing a CNN Based Architecture of Mid-level Vision for Feeding the WHERE and WHAT Pathways in the Brain
Introduction
CNN Based Architecture for Lower Mid-level Vision
CNN Based Architecture for Higher Mid-level Vision
Scale-Space Pyramidal Representation
Blob Detection from DoG in Primary Visual Cortex (V1)
Realization of Orientation Column in Visual Cortex by CNN
Feature Descriptor Design for Position and Identity Detection
Maximizing Stimulations to WHERE and WHAT Pathways
Conclusion
References
Multithreaded Memetic Algorithm for VLSI Placement Problem
Introduction
Problem Formulation
Wire Length Estimation
String Encoding
Scoring Function
Initial Population Construction
Crossover and Mutation Operator
Hybrid Simulated Annealing (SA)
Multithreading
Experimental Results
Conclusion
References
Bacterial Foraging Approach to Economic Load Dispatch Problem with Non Convex Cost Function
Introduction
Problem Formulation
ELDVPL
ELDRRPOZ
Bacterial Foraging: Review
Chemotaxis
Swarming
Reproduction
Elimination and Dispersal
Adaptive Strategy
Pseudocode
Simulation Result
Conclusion
References
Static/Dynamic Environmental Economic Dispatch Employing Chaotic Micro Bacterial Foraging Algorithm
Introduction
Static/Dynamic Combined Environmental Economic Dispatch
Dynamic Economic Emission Dispatch
Classical BFA Algorithm
Chaotic Micro Bacterial Foraging Algorithm (CMBFA)
Results and Discussion
Parameter Setup and Effect of Bacteria Population
Static/Dynamic Environmental Economic Dispatch (SEED/DEED)
Conclusions
References
Artificial Bee Colony Algorithm with Self Adaptive Colony Size
Introduction
Artificial Bee Colony Algorithm
Proposed ABC-SAC Algorithms and Its Variant
Parameters Settings and Comparison Criterion
Benchmark Problems, Results and Discussion
Conclusion
References
Multi-Robot Box-Pushing Using Non-dominated Sorting Bee Colony Optimization Algorithm
Introduction
Formulation of the Problem
Solving Constraint Optimization Problem Using Non dominatedSorting Bee Colony Optimization (NSBC)
Experiment and Computer Simulation
Conclusion
References
Emotion Recognition from the Lip-Contour of a Subject Using Artificial Bee Colony Optimization Algorithm
Introduction
The Proposed Lip-Contour Model
The ABC Algorithm
Methodology
Segmentation of the Lip-Contour
Parameter Extraction of a Given Lip-Contour Using Artificial Bee Colony Optimization Algorithm
Emotion Classification from Measured Parameters of the Lip-Contour Model
Experiments and Results
Conclusion
References
Software Coverage : A Testing Approach through Ant Colony Optimization
Introduction
Background Work
Proposed Algorithm
Demonstration of Proposed Algorithm
Analysis
Experimentation, Results and Discussion
Conclusion
References
Short Term Load Forecasting Using Fuzzy Inference and Ant Colony Optimization
Introduction
Variables Affecting the Load Pattern
Variation of Load with Temperature
Variation of Load with Humidity
Relation between the Present and the Previous Hour Load
Short Term Load Forecasting Using Fuzzy Inference Followed by Ant Colony Optimization
Similar Day Selection
Fuzzy Inference System
Ant Colony Optimization
Evaluation of the Algorithm
Simulation Results
Conclusions
References
The Use of Strategies of Normalized Correlation in the Ant-Based Clustering Algorithm
Introduction
The Approach
Results
Conclusions
References
Ant Based Clustering of Time Series Discrete Data - A Rough Set Approach
Introduction
Basic Notions
Consistency Measure
Ant Based Clustering
Experiments
Conclusions
References
Sensor Deployment for Probabilistic Target k-Coverage Using Artificial Bee Colony Algorithm
Introduction
Related Work
Problem Definition
Binary Sensing Model
Probabilistic Coverage
k-Coverage
Mean of Location Points
Sensor Deployment to Achieve Probabilistic Target k-Coverage
Proposed Method
Results and Discussion
Probabilistic Coverage
Probabilistic k-Coverage
Conclusion and Future Work
References
Extended Trail Reinforcement Strategies for Ant Colony Optimization
Introduction
Ant Colony Optimization and MAX-MIN Ant System
Extended Reinforcement Strategies
Experimental Settings
Results and Discussion
Conclusion
References
Fractional-Order $PI^?D^µ$ Controller Design Using a Modified Artificial Bee Colony Algorithm
Introduction
Fractional Order Systems
Artificial Bee Colony Algorithm
Modified Artificial Bee Colony Algorithm
Design of Fractional $PI^?D^µ$ Controller Using C-ABC
Experimental Results and Validation
Conclusion
References
Reconfiguration of Distribution Systems for Loss Reduction Using the Harmony Search Algorithm
Introduction
Formulation of the Network Reconfiguration Problem for Loss Reduction
Harmony Search Algorithm
Worked Examples
Conclusion
References
An Improved Multi-Objective Algorithm Based on Decomposition with Fuzzy Dominance for Deployment of Wireless Sensor Networks
Introduction
Problem Definition
Multi-Objective Optimization, MOEA/DFD - Brief Background
MOEA/DFD: A Brief Discussion
Experimental Results
Experimental Setup
Results
Conclusion
References
Application of Multi-Objective Teaching-Learning-Based Algorithm to an Economic Load Dispatch Problem with Incommensurable Objectives
Introduction
EED Problem Formulation
Fuel Cost Objective
Emission Objective
Power Balance Constraint
Generation Capacity Constraints
Multiobjective Teaching-Learning-Based Optimization (MOTLBO) Algorithm
Simulation Results
Conclusion
References
Application of NSGA - II to Power System Topology Based Multiple Contingency Scrutiny for Risk Analysis
Introduction
Power System Vulnerability Analysis: A Graph Theoritic Approach
Multi Objective Formulation of Power System Risk Analysis: NSGA II Implementation
Case Study and Results
Conclusion
References
Multi Resolution Genetic Programming Approach for Stream Flow Forecasting
Introduction
Genetic Programming
Maximal Overlap Discrete Wavelet Transform (MODWT) and Multi Resolution Analysis
Model Development
Model Application
Conclusions
References
Reference Set Metrics for Multi-Objective Algorithms
Introduction
Reference Sets
Solution Set Cardinality
Domination Volume
Diversity
Discussion
References
Groundwater Level Forecasting Using SVM-QPSO
Introduction
Support Vector Machines
Quantum Behaved Particle Swarm Optimization Technique in Selecting the Parameters of SVM
Applications and Discussions
Description of the Study Area
Performance Measures
Model Development
Comparison with Other Forecasting Models
Summary and Conclusions
References
Genetic Algorithm Based Optimal Design of Hydraulic Structures with Uncertainty Characterization
Introduction
Subsurface Flow
Optimal Design Formulation
Optimization Model
Characterizing Model Functional Parameters
Optimization Procedure Using Genetic Algorithm
Uncertainty Characterization in the Optimization Model
Uncertainty in Hydrogeologic Parameters
Results and Discussions
Conclusions
References
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Swarm, Evolutionary, and Memetic Computing

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