A new metaheuristic algorithm based on shark smell optimization

Abstract

In this article, a new metaheuristic optimization algorithm is introduced. This algorithm is based on the ability of shark, as a superior hunter in the nature, for finding prey, which is taken from the smell sense of shark and its movement to the odor source. Various behaviors of shark within the search environment, that is, sea water, are mathematically modeled within the proposed optimization approach. The effectiveness of the suggested approach is compared with many other heuristic optimization methods based on standard benchmark functions. Also, to illustrate the efficiency of the proposed optimization method for solving real-world engineering problems, it is applied for the solution of load frequency control problem in electrical power systems. The obtained results confirm the validity of the proposed metaheuristic optimization algorithm.

Short-term load forecast of electrical power system by radial basis function neural network and new stochastic search algorithm

“…SSO, first presented by Abedinia et al, in 2014, has high exploration capability for finding optimal solution of complex multi-modal optimization problems [16]. SSO, first presented by Abedinia et al, in 2014, has high exploration capability for finding optimal solution of complex multi-modal optimization problems [16].…”

“…More details in this regard can be found in [16]. The values of the parameters of each stochastic search method are usually selected based on the heuristic or experience of the user.…”

“…SSO is a stochastic search method inspired from shark smell ability to find pray, which has made this animal a successful hunter in the nature. SSO, first presented by Abedinia et al, in 2014, has high exploration capability for finding optimal solution of complex multi-modal optimization problems [16]. In the following, the SSO algorithm is first presented and then its enhanced version, i.e.…”

Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithm

“…Shark smell optimization is an efficient metaheuristic optimization algorithm developed in this paper. Shark smell optimization was developed in our previous work in 2014 . This algorithm is based on distinct shark smell abilities for localizing a prey.…”

“…Finally, the best individual in the last iteration (ie, m = M ) is selected as the SSO solution for the optimization problem. More details of this algorithm were presented in our previous work …”