Paper Info
Title
Adaptive Differential Evolution Algorithm Based on Gradient and Polar Coordinates Search Strategies.
Abstract
Adaptive differential evolution algorithm based on gradient and polar coordinates search strategies (ADE) is proposed in this paper. In order to improve the precision of solutions, gradient and polar coordinates search strategies are introduced. Since the gradient search strategy generates offsprings using the derivative definition, it will accelerate the convergence speed. Polar coordinates search strategy can help the algorithm jump out of the local optimization and avoid continuously searching in wrong direction. The simulation results show that the proposed algorithm has better results compare to SaDE, NSDE and CMAES for benchmark functions 1-14 in CEC2005.
Year
DOI
Venue
2015
10.1109/CIS.2015.74
CIS
Keywords
Field
DocType
differential evolution algorithm, gradient descent, polar coordinates
Gradient method,Convergence (routing),Gradient descent,Mathematical optimization,Search algorithm,Algorithm design,Computer science,Polar coordinate system,Artificial intelligence,Linear programming,Local search (optimization),Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
3
Name
Order
Citations
PageRank
Jun Yang163.59
Jingxuan Wei2628.42
Jiang Liu326.76