28 citations · 56 across the 5 of their papers we have counts for
5 papers
Differential Evolution with Better and Nearest Option for Function Optimization
Haozhen Dong, Liang Gao, Xinyu Li +2
Differential evolution(DE) is a conventional algorithm with fast convergence speed. However, DE may be trapped in local optimal solution easily. Many researchers devote themselves…
A Decomposition-Based Many-Objective Evolutionary Algorithm with Local Iterative Update
Yingyu Zhang, Bing Zeng
Existing studies have shown that the conventional multi-objective evolutionary algorithms (MOEAs) based on decomposition may lose the population diversity when solving some many-ob…
Whale swarm algorithm with the mechanism of identifying and escaping from extreme points for multimodal function optimization
Bing Zeng, Xinyu Li, Liang Gao +2
Most real-world optimization problems often come with multiple global optima or local optima. Therefore, increasing niching metaheuristic algorithms, which devote to finding multip…
A mullti- or many- objective evolutionary algorithm with global loop update
Yingyu Zhang, Bing Zeng, Yuanzhen Li +1
Multi- or many-objective evolutionary algorithm- s(MOEAs), especially the decomposition-based MOEAs have been widely concerned in recent years. The decomposition-based MOEAs emphas…
Whale swarm algorithm for function optimization
Bing Zeng, Liang Gao, Xinyu Li
Increasing nature-inspired metaheuristic algorithms are applied to solving the real-world optimization problems, as they have some advantages over the classical methods of numerica…