Search in forest optimizer: a bioinspired metaheuristic algorithm for global optimization problems

The present research proposes a new particle swarm optimization-based metaheuristic algorithm entitled “search in forest optimizer (SIFO)” to solve the global optimization problems. is designed based on organized behavior of search teams looking for missing persons forest. According SIFO optimizer, number each including several experts field spread out across and gradually move same direction by finding clues from target until they find person. This structure was mathematical form intragroup operators transferring expert member top team. In addition, efficiency assessed comparing results standard representations problem with genetic, grey wolf, salp swarm, ant lion optimizers. results, proposed efficient solving many numerical representations, compared other algorithms.