This paper considers the Kohn-Sham(KS)equation in discretized Kohn-Sham density functional theory.As the exact Jacobian of the KS equation could not be easi
The Teaching-Learning-Based Optimization(TLBO)metaheuristic requires no parameter fine-tuning other than determining the population size and convergence cri
The alternating direction method of multipliers(ADMM)has been widely used for solving structured convex optimization problems that minimize the sum of N con
For solving the large-scale job shop scheduling problems considering flexible routings,a hierarchical coordination optimization model is proposed based on A
This paper considers a multi-agent scheduling cooperative game problem in which each agent has more than one job and all the jobs are processed on a common
Coordination plays an important role in multi-agent planning(MAP)as the independently generated plans by agents can lead to an infeasible joint solution.
Image super-resolution is usually done on multiple inputs.We present an iterative scheme to recover a high-resolution image from solely one low-resolution i
The primal-dual hybrid gradient(PDHG)algorithm has been successfully applied to a number of total variation(TV)based image reconstruction problems for fast