MATLAB simulation of objective function minimum value search based on whale optimization algorithm
The Whale Optimization Algorithm (WOA) is a heuristic optimization algorithm based on the behavior of whale groups in nature. This algorithm simulates the search behavior of whales during foraging and finds the optimal solution by iteratively optimizing the objective function. In this article, we will use MATLAB to simulate the WOA-based objective function minimum search.
First, we need to define the objective function. In this example, we choose the classic Rosenbrock function as the objective function. The expression of Rosenbrock function is as follows:
function f = rosenbrock(x)
f = sum(100 * (x(2: