A Baldwinian learning strategy is designed for improving the nondominated neighbor immune algorithm and a multi-objective immune algorithm with Baldwinian ...
Based on the regularity of continues MOPs, a Baldwinian learning strategy is designed for improving the nondominated neighbor immune algorithm and a multi- ...
This paper proposes a machine-learning- (ML-) assisted modelling approach that learns the modifications in design variables needed to advance population ...
Based on the regularity of continues MOPs, a Baldwinian learning strategy is designed for improving the nondominated neighbor immune algorithm and a multi- ...
Oct 22, 2024 · This algorithm was originally intended for data mining, pattern recognition, and multimodal optimization [12] ; it can perform local and global ...
Based on the regularity of continues MOPs, a Baldwinian learning strategy is designed for improving the nondominated neighbor immune algorithm and a multi- ...
Oct 22, 2024 · For multi-objective problems, well-known algorithms include non-dominated sorting genetic algorithms (NSGA-I (Srinivas and Deb, 1995), II (Deb ...
Title: Multi-objective immune algorithm with Baldwinian learning · Authors: Yutao Qi, Fang Liu, Meiyun Liu, Maoguo Gong, Licheng Jiao · Venue: Appl. · Venueid: ...
Yutao Qi, Fang Liu, Meiyun Liu, Maoguo Gong , Licheng Jiao : Multi-objective immune algorithm with Baldwinian learning. Appl. Soft Comput.
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Oct 2, 2020 · In this paper, the studies of multi-objective immune algorithm based on clonal selection principle are summarized and discussed.