Evolutionary dynamic grouping based cooperative co-evolution algorithm for large-scale optimization
Applied Intelligence(2024)
Abstract
To effectively address large-scale optimization problems, this paper proposes an evolutionary dynamic grouping (EDG) based cooperative co-evolution (CC) algorithm. In the proposed algorithm, a novel decomposition method is designed to generate the sub-components of decision variables dynamically. Additionally, an evolutionary search method based on the fireworks search strategy is proposed to enhance the searchability of the algorithm. The performance of the proposed algorithm is assessed using two benchmark suites, IEEE CEC’2010 and IEEE CEC’2013, as well as a real-world optimization problem, the 0/1 Knapsack Problem (KP). Experimental results demonstrate that the proposed algorithm achieves competitive results when compared with other state-of-the-art algorithms.
MoreTranslated text
Key words
Large-scale optimization,Cooperative co-evolution (CC),Dynamic grouping,Fireworks search strategy
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined