… In PSO, each particle is enticed towards the best position ever obtained by itself and … an
opposition based learning crow search optimization along with random normal mutation operator …

… the opposition based learning method with mutation operator … based learning technique
along with normal mutation … with popular trainer approaches like: PSO, GA, GWO and DE. Ten …

… PSO termed Threefry with opposition-based PSO ranked inertia weight (ORIW-PSO-TF) and
Philox with opposition-based PSO … any additional operators of algorithms such as mutation. …

… protocols alongside PSO's swarm intelligence … the Opposition-Based Moth Swarm Algorithm
(OBMSA). The proposal combines the opposition-based learning and the MSA operators to …

… mutation (CSJ), which replaces the Lévy flight operator of … PSO. DIMPSO was evaluated
using the CEC 2005 test suite, and the results suggest it is more efficient and accurate than PSO. …

… 3) Including the mutation operator of GA in PSO: Our final contribution is defining a novel
exponential mutation operator to enhance the exploration capability. This operator considers …

… variant of PSO called conditional opposition-based particle … The COPSO utilises
opposition-based learning (OBL) and … three major operators: selection, crossover, and mutation. …

… by hybridizing SHO with PSO [17] and also … opposite solutions also, which improves the
rate of convergence. In the second approach, the normal distributed uniform mutation operator is …

… Therefore, this paper proposes the HAHA based on the original AHA, combined with the
elite opposition-based learning strategy, PSO, and Cauchy mutation, to increase the population …

… stochastic algorithms proposed in the history, and its main operators are selection, crossover,
and mutation. The particle swarm optimization (PSO) [49] is imitation groups of species in …