Hierarchical differential evolution algorithm combined with multi-cross operation
Authors:
- Zhao-Guang LiuZLZhao-Guang Liu
- Xiu-Hua JiXJXiu-Hua Ji
- Yang YangYYYang Yang
- 1 September 2019
- journal article
- research article
- Published by Elsevier in Expert Systems with Applications
- Vol. 130, 276-292
Abstract
No abstract availableKeywords
Funding Information
- Shandong Provincial Natural Science Foundation (ZR2017MF067, 2016GGX101022)
This publication has 47 references indexed in Scilit:
- A hierarchical particle swarm optimizer with latin sampling based memetic algorithm for numerical optimizationApplied Soft Computing, 2013
- Using Competitive Population Evaluation in a differential evolution algorithm for dynamic environmentsEuropean Journal of Operational Research, 2012
- Optimisation of autonomous ship manoeuvres applying Ant Colony Optimisation metaheuristicExpert Systems with Applications, 2012
- A fast differential evolution algorithm using k-Nearest Neighbour predictorExpert Systems with Applications, 2011
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithmsSwarm and Evolutionary Computation, 2011
- An ant direction hybrid differential evolution algorithm in determining the tilt angle for photovoltaic modulesExpert Systems with Applications, 2010
- A modified ant colony optimization algorithm based on differential evolution for chaotic synchronizationExpert Systems with Applications, 2010
- Engineering optimisation by cuckoo searchInternational Journal of Mathematical Modelling and Numerical Optimisation, 2010
- A multi-crossover genetic approach to multivariable PID controllers tuningExpert Systems with Applications, 2007
- Individual Comparisons by Ranking MethodsBiometrics Bulletin, 1945