Ni Chen

TL;DR: ALC-PSO is designed to overcome the problem of premature convergence without significantly impairing the fast-converging feature of PSO and serves as a challenging mechanism for promoting a suitable leader to lead the swarm.

TL;DR: A survey of researches based on using ML techniques to enhance EC algorithms, a kind of optimization methodology inspired by the mechanisms of biological evolution and behaviors of living organisms, presents a survey of five categories: ML for population initialization, ML for fitness evaluation and selection,ML for population reproduction and variation, MLFor algorithm adaptation, and ML for local search.

TL;DR: The results verify that the proposed MOEA with double-level archives offers competitive advantages in distance to the PF, solution coverage, and search speed, compared with state-of-the-art MOEAs.

TL;DR: This paper presents a classification of adaptive EC (AEC) algorithms from the perspective of how an adaptation scheme is designed, involving the adaptation objects, adaptation evidences, and adaptation methods, by analyzing the population distribution characteristics of EC algorithms.

TL;DR: A genetic algorithm designed for the optimization of a long-term admission strategy for the ophthalmology department in hospitals is proposed and results show that strategies optimized by the proposed algorithm outperform FCFS and the greedy strategy.