With the emergence and growth of Many-Objective Optimization algorithms, there has been an increased necessity to formulate new metrics that can perform quantitative assessment of the Pareto-Front ...

Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the met ...

Using those data, we construct a surrogate deep neural network model for TC calculation and extract a polymer-unit library with 32 sequences. Two state-of-the-art algorithms of unified non-dominated ...