In this paper paper, inspired by the herding behavior of rhinos, a new kind of swarm-based metaheuristic search method, namely Rhino Herd (RH), is proposed for solving global continuous optimization problems. In various studies of rhinos in nature, the synoptic model is used to describe rhino's space use and estimate its probability of occurrence within a given domain. The number of rhinos increases year by year, and this increment can be forecasted by several population size updating models. Synoptic model and a population size updating model are formalized and generalized to a general-purpose metaheuristic optimization algorithm. In RH, null model without introducing any influences is generated as the initial herding. This is followed by rhino modification via synoptic model. After that, the population size is updated by a certain population size updating model, and newly-generated rhinos are randomly initialized within the given conditions. RH is benchmarked by fifteen test problems in comparison with biogeography-based optimization (BBO) and stud genetic algorithm (SGA). The results clearly show the superiority of RH in searching for the better functi ark problems over BBO and SGA.
|Title of host publication||Proceedings of The 9th EUROSIM Congress on Modelling and Simulation (EUROSIM 2016), The 57th SIMS Conference on Simulation and Modelling (SIMS 2016)|
|Editors||Esko Juuso, Erik Dahlquist, Kauko Leiviskä|
|Publisher||LINKÖPING UNIVERSITY ELECTRONIC PRESS|
|Number of pages||8|
|Publication status||Published - 2018|
|MoE publication type||A4 Article in a conference publication|
|Event||EUROSIM Congress on Modelling and Simulation & SIMS Conference on Simulation and Modelling - Oulu, Finland|
Duration: 12 Sep 2016 → 16 Sep 2016
|Name||Linköping electronic conference proceedings|
|Publisher||Linköping University Electronic Press|
|Conference||EUROSIM Congress on Modelling and Simulation & SIMS Conference on Simulation and Modelling|
|Abbreviated title||EUROSIM 2016 and SIMS 2016|
|Period||12/09/2016 → 16/09/2016|
Wang, G-G., Gao, X., Zenger, K., & Coelho, L. D. S. (2018). A Novel Metaheuristic Algorithm Inspired by Rhino Herd Behavior. In E. Juuso, E. Dahlquist, & K. Leiviskä (Eds.), Proceedings of The 9th EUROSIM Congress on Modelling and Simulation (EUROSIM 2016), The 57th SIMS Conference on Simulation and Modelling (SIMS 2016) (pp. 1026-1033). (Linköping electronic conference proceedings; No. 142). LINKÖPING UNIVERSITY ELECTRONIC PRESS.