A new modified grasshopper optimization algorithm

The grasshopper algorithm (GOA) is a recent algorithm. It widely used in many applications and results good solution. simple the accuracy very high. GOA has some limitations due to use of linear comfort zone parameter that causes difficulties balancing between exploration exploitation which may lead fall local optimum. In this paper modification made improve operation GOA. A nonlinear function developed replace parameter. benchmark authors for testing performance improvement suggested modified compared basic Results indicate MGOA outperforms original GOA, presenting higher accuracy, faster convergence, stronger stability. proposed new performs better than