Memetic Computing

Papers
(The TQCC of Memetic Computing is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Multi-task Ant Colony Optimization for Multi-vehicle Path Planning42
Measures of exploration and exploitation rates in MAs: classification, comparison, and convergence analysis41
Adaptive transfer-matrix driven multi-objective multitask evolutionary optimization27
A multi-level prediction and elite individual-assisted evolutionary algorithm for dynamic multi-objective optimization and application15
Multi-level global and local fusion for multimodal sentiment analysis14
A motivational model based on artificial biological functions for the intelligent decision-making of social robots11
F-Chain: personalized overall survival prediction based on incremental adaptive indicators and multi-source clinical records11
A diversity-aware memetic algorithm for the linear ordering Problem11
Bi-objective influence maximization with consideration of node burden11
Bootstrap contrastive domain adaptation10
Variable-universe fuzzy logic controller-based constrained multi- and many-objective evolutionary algorithm10
A clustering-based weighted optimization algorithm for large-scale multi-objective optimization problems9
A regularity model-based multi-objective estimation of distribution memetic algorithm with auto-controllable population diversity9
Multi-task assisted multi-objective optimization algorithm for autonomous underwater vehicle path planning9
Parallel machine scheduling with job family, release time, and mold availability constraints: model and two solution approaches8
An estimation of distribution algorithm-based hyper-heuristic for the blocking flowshop group scheduling problem8
Bagging-based ensemble classifiers using multi-objective genetic programming8
Dynamic matrix-based evolutionary algorithm for large-scale sparse multiobjective optimization problems7
An adaptive binary particle swarm optimization algorithm with filtration and local search for feature selection in text classification7
A novel ensemble learning-based model for APT attack detection7
A simple and scalable particle swarm optimization structure based on linear system theory7
Two cooperative constraint handling techniques with an external archive for constrained multi-objective optimization7
Optimal operator selection based on the hybrid operator selection strategy7
An ensemble learning algorithm based on multimodal differential evolution and extreme learning machine6
Hierarchical heterogeneous graph learning for color-missing ALS pointcloud segmentation6
A memetic algorithm for a real-world dynamic pickup and delivery problem6
Serial-batching scheduling in a fuzzy manufacturing system using a hybrid particle swarm optimization algorithm6
Automated design of state transition rules in ant colony optimization by genetic programming: a comprehensive investigation6
A knowledge-driven memetic algorithm for energy-aware flexible job shop scheduling with limited AGV transportation6
A point crowding-degree based evolutionary algorithm for many-objective optimization5
An efficient improved backbone network and dynamic head on YOLOv11 to the detection of student behavior5
A distributed individuals based multimodal multi-objective optimization differential evolution algorithm5
Ensemble mating strategy in evolutionary algorithms for multiobjective optimization5
A novel multi-agent architecture based on decomposition and learning automata to hybridize multi-objective metaheuristics5
Optimization design method for typical grassland perception robot system5
Parallel machine group scheduling with time-dependent setup time and combined effects of deterioration and learning5
An optimization method for pruning rates of each layer in CNN based on the GA-SMSM5
A decomposition-based many-objective evolutionary algorithm with weight grouping and adaptive adjustment5
A q-learning assisted particle swarm optimization algorithm with dynamic niching selection for global optimization5
Advancing food safety: deep learning for accurate detection of bacterial contaminants5
A deep reinforcement learning method for dynamic flexible job shop scheduling via heterogeneous graph transformer5
Bio-inspired model for oil production prediction: combining gene regulation-based optimization and radial basis function network5
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