Group search optimizer: an optimization algorithm inspired by animal searching behavior
IEEE Transactions on Evolutionary Computation
Modified biogeography-based optimisation (MBBO)
International Journal of Bio-Inspired Computation
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
International Journal of Bio-Inspired Computation
Bio-inspired computation: success and challenges of IJBIC
International Journal of Bio-Inspired Computation
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In the standard version of artificial plant optimisation algorithm APOA, the light responsive curve of photosynthesis operator is selected as rectangular hyperbolic model. However, different light responsive curve may result in different performance, therefore, a combination of some different light responsive curves may increase the effectiveness of photosynthesis operator. In this paper, the whole evaluation process is divided into three parts, while different light responsive curve is selected in each part. With orthogonal experimental design, an optimal combination model is determined which consists of parabola model, updated rectangular hyperbolic model and straight line model, and is called three-period photosynthesis operator. To test the performance, some famous benchmarks are employed to test, and simulation results show it is effective.