most citedAccelerating the Genetic Algorithm for Large-scale Traveling Salesman Problems by Cooperative Coevolutionary Pointer Network with Reinforcement Learning

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.NE2022

Accelerating the Evolutionary Algorithms by Gaussian Process Regression with -greedy acquisition function

Rui Zhong, Enzhi Zhang, Masaharu Munetomo

In this paper, we propose a novel method to estimate the elite individual to accelerate the convergence of optimization. Inspired by the Bayesian Optimization Algorithm (BOA), the…

cs.NE2022★ 1 cited

Accelerating the Genetic Algorithm for Large-scale Traveling Salesman Problems by Cooperative Coevolutionary Pointer Network with Reinforcement Learning

Rui Zhong, Enzhi Zhang, Masaharu Munetomo

In this paper, we propose a two-stage optimization strategy for solving the Large-scale Traveling Salesman Problems (LSTSPs) named CCPNRL-GA. First, we hypothesize that the partici…

cs.NE2022

Cooperative coevolutionary Modified Differential Evolution with Distance-based Selection for Large-Scale Optimization Problems in noisy environments through an automatic Random Grouping

Rui Zhong, Masaharu Munetomo

Many optimization problems suffer from noise, and nonlinearity check-based decomposition methods (e.g. Differential Grouping) will completely fail to detect the interactions betwee…