Suchergebnisse - "Learning to learn evolutionary algorithm"

Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution

Autoren: Xin Liu Jianyong Sun Qingfu Zhang et al.

Quelle: IEEE Transactions on Emerging Topics in Computational Intelligence. 7:1605-1620

Advancements in multimodal differential evolution: a comprehensive review and future perspectives.

Autoren: Chauhan, Dikshit Shivani Jung, Donghwi et al.

Quelle: Artificial Intelligence Review; Nov2025, Vol. 58 Issue 11, p1-73, 73p

Schlagwörter: DIFFERENTIAL evolution, EVOLUTIONARY algorithms, MATHEMATICAL optimization, MULTI-objective optimization, MACHINE learning, PARAMETERIZATION

Personalized Intelligent Recommendation Model for Educational Games Based on Data Mining.

Autoren: Min Yang Dandan Li

Quelle: Information Technology & Control; 2025, Vol. 54 Issue 1, p64-83, 20p

Schlagwörter: DATA mining, EDUCATIONAL games, PROBLEM solving, ALGORITHMS

Enhancing surrogate-assisted evolutionary optimization for medium-scale expensive problems: a two-stage approach with unsupervised feature learning and Q-learning.

Autoren: Gong, Yiyun Yu, Haibo Kang, Li et al.

Quelle: Neural Computing & Applications; Sep2024, Vol. 36 Issue 25, p15545-15565, 21p

Schlagwörter: PRINCIPAL components analysis, EVOLUTIONARY algorithms, REINFORCEMENT learning, DIFFERENTIAL operators, BENCHMARK problems (Computer science), DIFFERENTIAL evolution

Learning to sample initial solution for solving 0–1 discrete optimization problem by local search.

Autoren: Liu, Xin Sun, Jianyong Xu, Zongben

Quelle: SCIENCE CHINA Mathematics; Jun2024, Vol. 67 Issue 6, p1317-1340, 24p

Learning to select the recombination operator for derivative-free optimization.

Autoren: Zhang, Haotian Sun, Jianyong Bäck, Thomas et al.

Quelle: SCIENCE CHINA Mathematics; Jun2024, Vol. 67 Issue 6, p1457-1480, 24p

Evolutionary Multi-Criterion Optimization : 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part II

Autoren: Hemant Singh Tapabrata Ray Joshua Knowles et al.

Resource Type: eBook.

Schlagworte: Multiple criteria decision making--Congresses, Mathematical optimization--Congresses, Artificial intelligence

Categories: COMPUTERS / Artificial Intelligence / General