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 ...

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 ...

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 ...

The slime mould algorithm (SMA) simulates the mechanism by which slime moulds optimize paths through chemical signaling and morphological changes, enabling efficient exploration and exploitation of ...

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 ...

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 ...

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 ...

Projection algorithms are well known for their simplicity and flexibility in solving feasibility problems. They are particularly important in practice owing to minimal requirements for software ...