Review of meta-heuristics and generalised evolutionary walk algorithm
International Journal of Bio-Inspired Computation
Modified biogeography-based optimisation (MBBO)
International Journal of Bio-Inspired Computation
International Journal of Wireless and Mobile Computing
Training artificial neural networks using APPM
International Journal of Wireless and Mobile Computing
Light responsive curve selection for photosynthesis operator of APOA
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
An empirical study of test effort estimation based on bat algorithm
International Journal of Bio-Inspired Computation
Hi-index | 0.00 |
Artificial plant optimisation algorithm APOA is a recent proposed evolutionary computation in which the growing process of one tree is mapped into the optimised problem. In APOA, three new operators: photosynthesis operator, phototropism operator and apical dominance operator are designed to simulate three important phenomenon. In this paper, a new variant of APOA in which the light responsive curve of photosynthesis operator is selected as parabola model. To test the performance, this variant is applied to directing orbits of chaotic system. Simulation results show it is effective.