An enhanced differential evolution algorithm for solving large scale optimisation problems on graphics hardware
Jing Wang · International Journal of Computer Applications in Technology · 2013
This paper presents an enhanced differential evolution (DE) algorithm on graphics hardware. It has shown a good performance on solving large scale optimisation problems. In this algorithm, generalised opposition-based learning (GOBL) strategy and orientation neighbourhood search (ONS) are embedded into DE algorithm. These strategies are helpful to balance the global and local search ability of the algorithm, moreover, the GPU hardware can accelerate the convergence rate. Experimental results show that the enhanced algorithm on graphics hardware achieves good accuracy and high speedup.