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ORCIDSwarm and Evolutionary Computation, Volume 76
Volume 76, February 2023
- Deepak Nagar
, Palaniappan Ramu, Kalyanmoy Deb:
Visualization and analysis of Pareto-optimal fronts using interpretable self-organizing map (iSOM). 101202 - Zuowen Liao, Xianyan Mi, Qishuo Pang, Yu Sun:
History archive assisted niching differential evolution with variable neighborhood for multimodal optimization. 101206 - Xin Chen, Hong-Fang Yan, Yujun Zheng, Mumtaz Karatas:
Integration of machine learning prediction and heuristic optimization for mask delivery in COVID-19. 101208 - Fei Ming, Wenyin Gong, Yueping Yang, Zuowen Liao:
Constrained multimodal multi-objective optimization: Test problem construction and algorithm design. 101209 - Gilberto Rivera, Laura Cruz-Reyes, Eduardo Fernández-González, Claudia Gómez-Santillán, Nelson Rangel-Valdez, Carlos A. Coello Coello:
An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences. 101211 - Yiying Zhang:
Elite archives-driven particle swarm optimization for large scale numerical optimization and its engineering applications. 101212 - Xuan Wu, Jizong Han, Di Wang, Pengyue Gao, Quanlong Cui, Liang Chen, Yanchun Liang, Han Huang, Heow Pueh Lee, Chunyan Miao, You Zhou, Chunguo Wu:
Incorporating Surprisingly Popular Algorithm and Euclidean distance-based adaptive topology into PSO. 101222 - Alberto Leporati, Luca Manzoni, Giancarlo Mauri, Gloria Pietropolli, Claudio Zandron:
Inferring P systems from their computing steps: An evolutionary approach. 101223 - Wei Fang, Weijian Zhang, Li Ma, Yunlin Wu, Kefei Yan, Hengyang Lu, Jun Sun, Xiaojun Wu, Bo Yuan:
An efficient Bayesian network structure learning algorithm based on structural information. 101224 - Keming Jiao, Jie Chen, Bin Xin, Li Li:
A reference vector based multiobjective evolutionary algorithm with Q-learning for operator adaptation. 101225
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