A hybrid modified Bat Algorithm with Dynamic Spiral Method for solving mixed integer non-linear programming optimization

Most optimization problems in engineering are nonlinear, with many constraints. Consequently, finding optimal solutions to such nonlinear requires efficient methods. of the methods used so far gradient-based In methods, objective function must be differentiable, and search for optimum solution usually starts a guess-point. For multimodal objectives, will likely get stuck at local optimum. Nowadays, new metaheuristic being developed solving problems. Metaheuristic neither require guess-point nor derivative function. called Bat Algorithm Spiral Dynamic Method, have been Each has strength solve problem. We propose combining (BA) Method (DSM) mixed integer optimization. The bat is exploration stage find some candidate solutions. Meanwhile, dynamic spiral method best solution. result obtained by Algorithm-Dynamic (BA-DSM) were more effective than standard