Seismic Inversion Problem Using a Multioperator Whale Optimization Algorithm

The whale optimization algorithm (WOA) is a metaheuristic based on swarm intelligence and it mimics the hunting behavior of whales. It has imperfection premature convergence into local optima. In order to overcome this disadvantage, multioperator WOA (MOWOA) proposed. Four main strategies are introduced MOWOA heighten search capacity WOA. include nonlinear adaptive parameter design, an exploration mechanism honey badger, Cauchy factor strategy, greedy strategy. This paper tests versatility with three different types benchmark functions, kind seismic inversion problem trialed run. From experimental results, performance outperforms compared algorithms in global optimization.