Applied Computational Intelligence and Soft Computing

Testing Automation of Context-Oriented Programs Using Separation Logic

Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm

Developing Programming Tools to Handle Traveling Salesman Problem by the Three Object-Oriented Languages

Long Term Solar Radiation Forecast Using Computational Intelligence Methods

Lyapunov-Based Controller for a Class of Stochastic Chaotic Systems

Script Identification from Printed Indian Document Images and Performance Evaluation Using Different Classifiers

A Comparative Study of EAG and PBIL on Large-Scale Global Optimization Problems

Identification of a Multicriteria Decision-Making Model Using the Characteristic Objects Method

A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization

Frequent Pattern Mining of Eye-Tracking Records Partitioned into Cognitive Chunks

The Mixed Type Splitting Methods for Solving Fuzzy Linear Systems

Investigations on Incipient Fault Diagnosis of Power Transformer Using Neural Networks and Adaptive Neurofuzzy Inference System

A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence

Forward and Reverse Process Models for the Squeeze Casting Process Using Neural Network Based Approaches

2-Layered Architecture of Vague Logic Based Multilevel Queue Scheduler

Applied Computational Intelligence and Soft Computing

Table of Contents

Table of Contents: 2014

Testing Automation of Context-Oriented Programs Using Separation Logic

Effect of Population Structures on Quantum-Inspired Evolutionary Algorithm

Developing Programming Tools to Handle Traveling Salesman Problem by the Three Object-Oriented Languages

Long Term Solar Radiation Forecast Using Computational Intelligence Methods

Lyapunov-Based Controller for a Class of Stochastic Chaotic Systems

Script Identification from Printed Indian Document Images and Performance Evaluation Using Different Classifiers

A Comparative Study of EAG and PBIL on Large-Scale Global Optimization Problems

Identification of a Multicriteria Decision-Making Model Using the Characteristic Objects Method

A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization

Frequent Pattern Mining of Eye-Tracking Records Partitioned into Cognitive Chunks

The Mixed Type Splitting Methods for Solving Fuzzy Linear Systems

Investigations on Incipient Fault Diagnosis of Power Transformer Using Neural Networks and Adaptive Neurofuzzy Inference System

A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence

Forward and Reverse Process Models for the Squeeze Casting Process Using Neural Network Based Approaches

2-Layered Architecture of Vague Logic Based Multilevel Queue Scheduler