Results 251 to 260 of about 299,863 (342)

Discriminative biomarker selection using hybrid multi-population evolutionary computation. [PDF]

Sci Rep
Shukla AK, Dwivedi S, Mishra A.
europepmc   +1 more source

An efficient assignment of multiple agricultural machinery tasks based on Chaotic Cauchy Elite Variable Snake Optimization Algorithm. [PDF]

PLoS One
Xiang R, Liu X, Tian M, Ban C, Li R, Zhou J.   +5 more
europepmc   +1 more source

Multi-Objective Drug Molecule Optimization Based on Tanimoto Crowding Distance and Acceptance Probability. [PDF]

Pharmaceuticals (Basel)
Wang Y, Dai C, Lei X.
europepmc   +1 more source

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Neural Architecture Search Based on a Multi-Objective Evolutionary Algorithm With Probability Stack

IEEE Transactions on Evolutionary Computation, 2023
With the emergence of deep neural networks, many research fields, such as image classification, object detection, speech recognition, natural language processing, machine translation, and automatic driving, have made major breakthroughs in technology and
Yu Xue, Cheng Chen, A. Słowik
semanticscholar   +1 more source

A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm

IEEE Transactions on Emerging Topics in Computational Intelligence, 2023
Constrained multi-objective optimization problems (CMOPs) are difficult to solve since they involve the optimization of multiple objectives and the satisfaction of various constraints. Most constrained multi-objective evolutionary algorithms (CMOEAs) are
Kangjia Qiao, Jing J. Liang, Kunjie Yu, Minghui Wang, B. Qu, Caitong Yue, Yinan Guo   +6 more
semanticscholar   +1 more source

Tourism Route Recommendation Based on A Multi-Objective Evolutionary Algorithm Using Two-Stage Decomposition and Pareto Layering

IEEE/CAA Journal of Automatica Sinica, 2023
Tourism route planning is widely applied in the smart tourism field. The Pareto-optimal front obtained by the traditional multi-objective evolutionary algorithm exhibits long tails, sharp peaks and disconnected regions problems, which leads to uneven ...
Xiaoyao Zheng, Baoting Han, Zhen Ni
semanticscholar   +1 more source

A hybrid multi-objective evolutionary algorithm for open vehicle routing problem through cluster primary-route secondary approach

International Journal of Management Science and Engineering Management, 2022
This study focuses on the cluster primary-route secondary approach to solve the multi-objective open green vehicle routing problem under a sustainable environment.
J. Dutta, Partha Sarathi Barma, A. Mukherjee, S. Kar, Tanmay De   +4 more
semanticscholar   +1 more source

IM-MOEA/D: An Inverse Modeling Multi-Objective Evolutionary Algorithm Based on Decomposition

IEEE International Conference on Systems, Man and Cybernetics, 2021
The inverse modeling multi-objective evolutionary algorithm (IM-MOEA) is a method to solve multi-objective optimization problems (MOP) that samples candidate solutions straight from the objective space, making it easier to control the diversity of the ...
L. R. Farias, A. Araujo
semanticscholar   +1 more source

Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm

IEEE Transactions on Knowledge and Data Engineering, 2022
Pattern mining (PM) refers to the process of discovering patterns of interest to users from data. However, most studies have considered only one pattern, such as frequent pattern or high-utility pattern.
Wei Fang, Qiang Zhang, Jun Sun, Xiaojun Wu   +3 more
semanticscholar   +1 more source

A Multi-Population Multi-Objective Evolutionary Algorithm Based on the Contribution of Decision Variables to Objectives for Large-Scale Multi/Many-Objective Optimization

IEEE Transactions on Cybernetics, 2022
Most existing multiobjective evolutionary algorithms treat all decision variables as a whole to perform genetic operations and optimize all objectives with one population at the same time.
Ying Xu, Chong Xu, Huan Zhang, Lei Huang, Yiping Liu, Y. Nojima, Xiangxiang Zeng   +6 more
semanticscholar   +1 more source