Aug 8, 2024 · This paper proposes a partitioned knowledge-guided MMEA with multi-stage. The algorithm makes stage changes according to the proportion of evaluation consumed ...
In this paper, a surrogate-assisted evolutionary algorithm based on radial space division is proposed for expensive many-objective optimization problems. The ...
Nov 1, 2024 · A knowledge-guided regional division based evolutionary algorithm for multi-modal multi-objective optimization. Xuanyan Lei. Yizhang Xia. Qi ...
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A knowledge-guided regional division based evolutionary algorithm for multi-modal multi-objective optimization. X Lei, Y Xia, Q Deng, J Zou. Applied Soft ...
This paper introduces a Knowledge-Guided Competitive Co-Evolutionary Algorithm (KCCEA) for feature selection, especially for high-dimensional features.
Qi Deng's 9 research works with 62 citations, including: A knowledge-guided regional division based evolutionary algorithm for multi-modal multi-objective ...
Lianget al., “A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems,” Swarm Evol. Comput., vol ...
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A knowledge-guided regional division based evolutionary algorithm for multi-modal multi-objective optimization. Article in Applied Soft Computing (November 2024) ...
This work proposes a general MTO framework named individually guided multi-task optimization (IMTO). It divides evolutions into vertical and horizontal ones.
Jul 26, 2023 · An efficient learning-guided hybrid multi-objective evolutionary algorithm is proposed to solve the constrained portfolio optimization problem ...