Generalised opposition-based differential evolution: an experimental study

Authors:
Hui Wang;Shahryar Rahnamayan;Sanyou Zeng
Affiliations:
School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China.;Faculty of Engineering and Applied Science, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, Oshawa, ON L1H 7K4, Canada.;School of Computer Sciences, China University of Geosciences, Wuhan 430074, China
Venue:
International Journal of Computer Applications in Technology
Year:
2012

Citing 20
Cited 0

Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces

Journal of Global Optimization
A Fuzzy Adaptive Differential Evolution Algorithm

Soft Computing - A Fusion of Foundations, Methodologies and Applications
Opposition-Based Learning: A New Scheme for Machine Intelligence

CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06) - Volume 01
Fundamentals of Computational Swarm Intelligence

Fundamentals of Computational Swarm Intelligence
Space transformation search: a new evolutionary technique

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Differential evolution algorithm with strategy adaptation for global numerical optimization

IEEE Transactions on Evolutionary Computation
Differential evolution using a neighborhood-based mutation operator

IEEE Transactions on Evolutionary Computation
A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 Special Session on Real Parameter Optimization

Journal of Heuristics
Recent advances in differential evolution: a survey and experimental analysis

Artificial Intelligence Review
JADE: adaptive differential evolution with optional external archive

IEEE Transactions on Evolutionary Computation
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

Information Sciences: an International Journal
A differential evolution for optimisation in noisy environment

International Journal of Bio-Inspired Computation
Analogue filter design using differential evolution

International Journal of Bio-Inspired Computation
Improved differential evolution algorithm with decentralisation of population

International Journal of Bio-Inspired Computation
Enhancing particle swarm optimization using generalized opposition-based learning

Information Sciences: an International Journal
Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems

Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems
Evolutionary programming made faster

IEEE Transactions on Evolutionary Computation
Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems

IEEE Transactions on Evolutionary Computation
Opposition-Based Differential Evolution

IEEE Transactions on Evolutionary Computation
Differential Evolution: A Survey of the State-of-the-Art

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an experimental study of generalised opposition-based differential evolution (GODE). A comprehensive set of experiments on 13 benchmark functions is conducted, including opposite points versus random points, diversity analysis, and comparisons of GODE with four other recent variants of differential evolution (DE). Experimental results show that GODE obtains better performance when compared with other involved algorithms.