Fitness Proportionate Random Vector Selection based DE Algorithm (FPRVDE)
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 9
Abstract
Differential Evolution (DE) is a simple, powerful and easy to use global optimization algorithm. DE has been studied in detail by many researchers in the past years. In DE algorithm trial vector generation strategies have a significant influence on its performance. This research studies that whether performance of DE algorithm can be improved by incorporating selection advancement in effective trial vector generation strategies. A novel advancement in DE trial vector generation strategies is proposed in this research to speeds up the convergence speed of DE algorithm. The proposed fitness proportion based random vector selection DE (FPRVDE) is based on the proportion of individual fitness mechanism. FPRVDE reduces the role of poor performing individuals to enhance it performance capability of DE algorithm. To form a trial vector using FPRVDE, individual based on the proportion of their fitness are selected. FPRVDE mechanism is applied to most commonly used set of DE variants. A comprehensive set of multidimensional function optimization problems is used to access the performance of FPRVDE. Experimental result shows that proposed approach accelerates DE algorithm.
Authors and Affiliations
Qamar Abbas, Jamil Ahmad, Hajira Jabeen
Keywords
Related Articles
- EP ID EP138975
- DOI 10.14569/IJACSA.2016.070946
- Views 95
- Downloads 0
Detection of Chronic Kidney Disease using Machine Learning Algorithms with Least Number of Predictors
Chronic kidney disease (CKD) is one of the most critical health problems due to its increasing prevalence. In this paper, we aim to test the ability of machine learning algorithms for the prediction of chronic kidney dis...
A Zone Classification Approach for Arabic Documents using Hybrid Features
Zone segmentation and classification is an important step in document layout analysis. It decomposes a given scanned document into zones. Zones need to be classified into text and non-text, so that only text zones are pr...
Knowledge Management Strategyfor SMEs
In Thailand, as in other developing countries, the focus was on the large industry first, since governments assumed that large enterprises could generate more employment. However, there has been a realization that the SM...
Multi-Valued Autoencoders and Classification of Large-Scale Multi-Class Problem
Two-layered neural networks are well known as autoencoders (AEs) in order to reduce the dimensionality of data. AEs are successfully employed as pre-trained layers of neural networks for classification tasks. Most of the...
Feature Subsumption for Sentiment Classification of Dynamic Data in Social Networks using SCDDF
The analysis of opinions till now is done mostly on static data rather than on the dynamic data. Opinions may vary in time. Earlier methods concentrated on opinions expressed in an individual site. But on a given concept...