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 ...

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 ...

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 ...

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 ...

LOK MING LUI, XIANFENG GU, SHING-TUNG YAU, CONVERGENCE OF AN ITERATIVE ALGORITHM FOR TEICHMÜLLER MAPS VIA HARMONIC ENERGY OPTIMIZATION, Mathematics of Computation, Vol. 84, No. 296 (NOVEMBER 2015), pp ...

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 ...

Matching algorithms to application characteristics Within any application category or set of characteristics there are many optimization algorithms that are equivalently effective. Criteria for ...