A New Algorithm: Wild Mice Colony Algorithm (WMC)

Optimization is an important and determinant task in structural design. Better designs will be achieved if designers be able to reduce design time and cost using optimization methods. Many optimization problems in engineering are naturally more complicated and difficult to be solved by conventional optimization methods such as mathematical programming. Nature is a basis of many optimizations algorithms, so researchers focus on behavioral patterns of organisms and events in nature by considering a structure toward a target. In this study, a new optimization algorithm is proposed based on the behavioral pattern of wild mice. Studying targeted and beneficial behaviors of wild mice in colony motivates these kinds of behaviors could be a pattern for solving an uncertain complex problem. In this research, based on the experimental results on this animal, the behavior of the mice in the production phases of the population, mating, struggle for survival has been implemented. The mice are organized in several colonies that will fight for survival based on the command of an colony head that is elite. Also, the motor pattern of the mice was defined based on the colony-head location and the average colony members that were effective in an optimal search in the problem space. The behavioral pattern of this living organism was implemented in the simulation environment and results show that the proposed algorithm is a suitable pattern to find an optimal solution for complicated problems.