Improved Whale Optimization Algorithm via the Inertia Weight Method Based on the Cosine Function

<p>Whale Optimization Algorithm (WOA) is a new meta-heuristic algorithm proposed by Australian scholar Mirjalili Seyedali in 2016 based on the feeding behavior of whales ocean. In response to disadvantages this algorithm, such as low solution accuracy, slow convergence speed and easy fall into local optimum, an improved Whale (IWOA) paper. We introduce chaotic mapping initialization keep whale population with diversity; adaptive inertia weights spiral position update humpback prevent from falling optimum; Levy flight random search for food improve global ability algorithm. simulation experiments, we compare paper other metaheuristic algorithms seven classical benchmark test functions, numerical results four indexes, minimum, maximum, mean standard deviation, different dimensions, illustrate that has better performance results.</p> <p> </p>