AN OPTIMIZATION ALGORITHM BASED ON ANALOGY OF SLOPE EROSION

Simulation of some biological behaviors and physical processes is always helpful to establish new algorithms in conducting complicated optimization problems. In this paper, we propose a new optimization algorithm based on analogy of slope erosion which involves growth and development of slope rills induced by rain. This algorithm uses a new function with periodic variation to evaluate the fitness of individuals and to keep the diversity of the population. By incorporating the invasive weed optimization algorithm and the biogeography-based optimization algorithm, the new algorithm has satisfactory performance both in global search and in local search. Example shows that its computational efficiency and accuracy are better than the invasive weed optimization algorithm and the biogeography-based optimization algorithm. It is thought that the optimization ideology in this new algorithm may also has a certain enlightenment to the study of slope erosion.