Search
Results: 59
Forest Optimization-Based Test Case Generation for Multiple Paths With Metamorphic Relations
In general multiple paths are covered by multiple runs which is a time consuming task. Now a days, metaheuristic techniques are widely used for path coverage. In order to reduce the time, an efficient method is proposed based on...
Published by: IGI Global
Resource-Efficient VM Placement in the Cloud Environment Using Improved Particle Swarm Optimization
Fundamentally, a strategy considering the effective utilization of resources results in the better energy efficiency of the system. The aroused interest of users in cloud computing has led to an increased power consumption...
Published by: IGI Global
Levy Flight and Chaos Theory-Based Gravitational Search Algorithm for Global Optimization
The Gravitational Search Algorithm (GSA) is one of the highly regarded population-based algorithms. It has been reported that GSA has a powerful global exploration capability but suffers from the limitations of getting stuck in...
Published by: IGI Global
An Enhanced Tabu Search Cell Formation Algorithm for a Cellular Manufacturing System
The major benefit of using Cellular manufacturing systems (CMS) is the improvement in efficiency and reduction in the production time. In a CMS the part families and machine parts are identified to minimise the inter and...
Published by: IGI Global
Performance Evaluation of Machine Learning Algorithms for Stock Price and Stock Index Movement Prediction Using Trend Deterministic Data Prediction
This experimental study addresses the problem of predicting the direction of stocks and the movement of stock price indices for three major stocks and stock indices. The proposed approach for processing input data involves the...
Published by: IGI Global
An Improved Image Compression Model Enabled by Adaptive Active Contour and Supervised Learning-Based ROI Classification
This paper plans to develop a novel image compression model with four major phases. (i) Segmentation (ii) Feature Extraction (iii) ROI classification (iv) Compression. The image is segmented into two regions by Adaptive ACM. The...
Published by: IGI Global
Reactive Power Optimization Using New Enhanced Whale Optimization Algorithm
The standard Whale Optimization Algorithm (WOA) involves exploitation and exploration operations which require to be balanced for improved performance. This paper suggests a new enhanced WOA to improve the convergence speed and...
Published by: IGI Global
Transfer Learning-Based Artificial Neural Network for Forward Kinematic Estimation of 6-DOF Robot
Transfer Learning (TL) can significantly lower training time and reduce dependency on a large number of target domain datasets. Such an approach is still not exploited for robotic prediction tasks. Currently, a TL based...
Published by: IGI Global
Product Review-Based Customer Sentiment Analysis Using an Ensemble of mRMR and Forest Optimization Algorithm (FOA)
This research presents a way of feature selection problem for classification of sentiments that use ensemble-based classifier. This includes a hybrid approach of minimum redundancy and maximum relevance (mRMR) technique and...
Published by: IGI Global
An Enhanced Version of Cat Swarm Optimization Algorithm for Cluster Analysis
Clustering is an unsupervised machine learning technique that optimally organizes the data objects in a group of clusters. In present work, a meta-heuristic algorithm based on cat intelligence is adopted for optimizing...
Published by: IGI Global
A Hybrid Genetic Algorithm and Sperm Swarm Optimization (HGASSO) for Multimodal Functions
In this paper, we propose a hybrid algorithm combining two different metaheuristic methods, “Genetic Algorithms (GA)” and “Sperm Swarm Optimization (SSO)”, for the global optimization of multimodal benchmarks functions. The...
Published by: IGI Global
Software Vulnerability Prediction Using Grey Wolf-Optimized Random Forest on the Unbalanced Data Sets
Wasiur Rhmann
Jan 01, 2022
Any vulnerability in the software creates a software security threat and helps hackers to gain unauthorized access to resources. Vulnerability prediction models help software engineers to effectively allocate their resources to...
Published by: IGI Global
Experimental Programming of Genetic Algorithms for the “Casse-Tête” Problem
Sarab Almuhaideb, Shahad Alohaydib, Dana Aldossari, Ghaida Alfarraj, Shahad Musaibeeh, Atheer Alrosayes, Afnan Abouelwafa
Jan 01, 2022
The Casse-tête board puzzle consists of an n×n grid covered with n^2 tokens. m<n^2 tokens are deleted from the grid so that each row and column of the grid contains an even number of remaining tokens. The size of the search...
Published by: IGI Global
A Radial Estimation-of-Distribution Algorithm for the Job-Shop Scheduling Problem
Ricardo Pérez-Rodríguez
Jan 01, 2022
The job-shop environment has been widely studied under different approaches. It is due to its practical characteristic that makes its research interesting. Therefore, the job-shop scheduling problem continues being attracted to...
Published by: IGI Global
Optimal Solution of Combined Heat and Power Dispatch Problem Using Whale Optimization Algorithm
In this article whale optimization algorithm (WOA) has been applied to solve the combined heat and power economic dispatch (CHPED) problem. The CHPED is energy system which provides both heat and power. Due to presence of valve...
Published by: IGI Global
Application of Metaheuristic Approaches for the Variable Selection Problem
Variable selection is an old topic from regression models. Besides many conventional approaches, some metaheuristic approaches from the realm of optimization such as GA (Genetic Algorithm) or simulated annealing have been...
Published by: IGI Global
On the Utilization of an Ensemble of Meta-Heuristics for Simulating Energy Consumption in Buildings
Predicting energy consumption has been a substantial topic because of its ability to lessen energy wastage and establish an acceptable overall operational efficiency. Thus, this research aims at creating a meta-heuristic-based...
Published by: IGI Global
Hybrid Binary Butterfly Optimization Algorithm and Simulated Annealing for Feature Selection Problem
Feature selection is performed to eliminate irrelevant features to reduce computational overheads. Metaheuristic algorithms have become popular for the task of feature selection due to their effectiveness and flexibility....
Published by: IGI Global
Novel 2-D Histogram-Based Soft Thresholding for Brain Tumor Detection and Image Compression
The objective of image compression is to extract meaningful clusters in a given image. Significant groups are possible with absolute threshold values. 1-D histogram-based multilevel thresholding is computationally complex and...
Published by: IGI Global
GRASP-Tabu Search Algorithms for the Route Planning Problem in Spatial Crowdsourcing
With the speedy progress of mobile devices, a lot of commercial enterprises have exploited crowdsourcing as a useful approach to gather information to develop their services. Thus, spatial crowdsourcing has appeared as a new...
Published by: IGI Global
Coronary Artery Disease Classification Using Deep Neural Network and Ensemble Models Optimized by Particle Swarm Optimization
Nowadays, many people are suffering from several health related issues in which Coronary Artery Disease (CAD) is an important one. Identification, prevention and diagnosis of diseases is a very challenging task in the field of...
Published by: IGI Global
A Comparative Study of Meta-Heuristic and Conventional Search in Optimization of Multi-Dimensional Feature Selection
Algorithmic – based search approach is ineffective at addressing the problem of multi-dimensional feature selection for document categorization. This study proposes the use of meta heuristic based search approach for optimal...
Published by: IGI Global
A Novel Multi-Objective Nonlinear Discrete Binary Gaining-Sharing Knowledge-Based Optimization Algorithm
GSK algorithm is based on the concept of how humans acquire and share knowledge through their lifespan. Discrete Binary version of GSK named novel binary Gaining Sharing knowledge-based optimization algorithm (DBGSK) depends on...
Published by: IGI Global
Techniques for Selecting the Optimal Parameters of One-Class Support Vector Machine Classifier for Reduced Samples
Usually, the One-Class Support Vector Machine (OC-SVM) requires a large dataset for modeling effectively the target class independently to other classes. For finding the OC-SVM model, the available dataset is subdivided into two...
Published by: IGI Global
Extreme Learning Machine-Based Age-Invariant Face Recognition With Deep Convolutional Descriptors
The principal intention of this paper is to study face recognition across age progression at two levels: feature extraction and classification. In other words, this work aims to prove the benefit of replacing the Softmax layer...
Published by: IGI Global
|
|< |
< |
1 |