Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the method is still in research. This article ...

The sparrow search algorithm (SSA), a swarm intelligence optimization algorithm proposed by Xue and Shen (2020), combines simplicity with flexibility. It is very effective for solving highly nonlinear ...

Algorithm Overview The MFO-PSO-SSA hybrid algorithm is designed to address the challenge of finding the optimal set of thresholds for multilevel image segmentation. It combines the exploration ...

Optimization problems involving the minimization of a finite sum of smooth, possibly non-convex functions arise in numerous applications. To achieve a consensus solution over a network, distributed ...

Article citations More>> Tan, F.M., Zhao, J.J. and Wang, Q. (2019) A Grey Wolf Optimization Algorithm with Improved Nonlinear Convergence. Microelectronics & Computer, 36, 89-95. has been cited by the ...

Attouch, H. and Bolte, J. (2007) On the Convergence of the Proximal Algorithm for Nonsmooth Functions Involving Analytic Features. Mathematical Programming, 116, 5-16.

This paper studies two classes of nonsmooth distributed optimization problems with coupled constraints, in which the local cost function of each agent consists of a Lipschitz differentable function ...