Red Deer Algorithm (RDA); A New Optimization Algorithm Inspired by Red Deers’ Mating

In this paper, a new optimization algorithm inspired by Red Deers’ mating is developed. The Scottish Red Deer (Cervus Elaphus Scoticus) is a subspecies of Red Deer, which is native to the British Isles. We study the unusual mating behavior of Red Deers, in order to employ this behavior in designing an optimization algorithm. Red Deer Algorithm (RDA) starts with an initial population. Population individuals called Red Deers are divided in two types: hinds and male Red Deers that all together forms some harems. A harem is a group of females, which mate with the head of male. The competition of male Red Deers to get the harem with more hinds, is the basis of the proposed evolutionary algorithm. During this match, which just male Red Deers will win this competition with their abilities such as: roaring and fighting. They will take a concession mating with a percentage of hinds. It can generate other solutions and select the best solution and will be competitive with other male Red Deers. Applying the purposed RDA to some of benchmark function, shows its ability in dealing with different types of optimization problem.