Prediction of Lung Cancer using Meta-Heuristic based Optimization Technique: Crow Search Technique

Modified Fitness Dependent Optimizer for Solving Numerical Optimization Functions

“…distance best bee =r 3 *X * i,t -X i,t (10) The proposed algorithm was used to improve FDO in terms of having slow convergence and trapping into local optima. So, Equation (11) 12) and ( 13), fwt represents the current fitness weight and new fw at the tth iteration represented by nfwt. wft represents the current weight factor in the range [0, 1].…”

“…Finding the maximum or minimum value of some function are the aim of using these algorithms: the minimum time to make a specific trip, the minimum cost for doing a mission, and so on [6].Nonetheless, these algorithms also have some inadequacies in terms of finding global optima, making a tradeoff between its two main essential aspects exploration and exploitation. Metaheuristic algorithms due to having high performances are utilized to solve real-world problems apparently electromagnetics problem [7], engineering design problems [8], constrained optimization problems [9], economic problem [10], medical problem [11]and task planning problems [12]. They are applied successfully to various engineering and sciences problems, e.g.…”