This article introduces two swarm intelligent algorithms, a group search optimizer (GSO) and an artificial fish swarm algorithm (AFSA). A single intelligent algorithm always has both merits in its specific formulation and deficiencies due to its inherent limitations. Therefore, we propose a mixture of these algorithms to create a new hybrid optimization algorithm known as the group search-artif...

The sand cat swarm optimization (SCSO) is a new heuristic algorithm that simulates the behavior of groups in desert using hearing to hunt. To address shortcomings low accuracy SCSO solution, slow convergence late iterations and easy stagnation, based on stochastic variation elite collaboration (SE-SCSO) was proposed. SE-SCSO first introduces nonlinear periodic adjustment mechanism balance explo...

The purpose of this research is predicting the stock prices using the Particle Swarm Optimization Algorithm and Box-Jenkins method. In this way, the information of 165 corporations is collected from 2001 to 2016. Then, this research considers price to earnings per share and earnings per share as main variables. The relevant regression equation was created using two variables of earnings per sha...

Based on introducing two optimization algorithms, group search optimization (GSO) algorithm and particle swarm optimization (PSO) algorithm, a new hybrid optimization algorithm which named particle swarm-group search optimization (PS-GSO) algorithm is presented and its application to optimal structural design is analyzed. The PS-GSO is used to investigate the spatial truss structures with discr...

Feature selection is a very important direction for network intrusion detection. However, current feature technology of detection has the problems low rate and accuracy due to redundancy. An improved Butterfly Optimization Algorithm combined with Black Widow (BWO-BOA) proposed in this paper, which introduces dynamic adaptive search strategy global phase (BOA), uses movement process (BWO) algori...

in this work, by using the particle swarm optimization the electron raman scattering for square double quantum wells is optimized. for this purpose, by combining the particle swarm algorithm together with the numerical solution procedures for equations, and also the perturbation theory we find the optimal structure that maximizes the electron raman scattering. application of this algorithm to t...

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 b...