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 2022-06-01 to 2026-06-01.)
ArticleCitations
A multi-level prediction and elite individual-assisted evolutionary algorithm for dynamic multi-objective optimization and application37
Multi-task Ant Colony Optimization for Multi-vehicle Path Planning33
Adaptive transfer-matrix driven multi-objective multitask evolutionary optimization29
Measures of exploration and exploitation rates in MAs: classification, comparison, and convergence analysis25
F-Chain: personalized overall survival prediction based on incremental adaptive indicators and multi-source clinical records23
Bi-objective influence maximization with consideration of node burden15
A diversity-aware memetic algorithm for the linear ordering Problem12
A clustering-based weighted optimization algorithm for large-scale multi-objective optimization problems11
Bootstrap contrastive domain adaptation11
A motivational model based on artificial biological functions for the intelligent decision-making of social robots11
An estimation of distribution algorithm-based hyper-heuristic for the blocking flowshop group scheduling problem10
Multi-task assisted multi-objective optimization algorithm for autonomous underwater vehicle path planning10
A regularity model-based multi-objective estimation of distribution memetic algorithm with auto-controllable population diversity10
A simple and scalable particle swarm optimization structure based on linear system theory8
A novel ensemble learning-based model for APT attack detection8
Bagging-based ensemble classifiers using multi-objective genetic programming8
Two cooperative constraint handling techniques with an external archive for constrained multi-objective optimization8
Parallel machine scheduling with job family, release time, and mold availability constraints: model and two solution approaches8
Dynamic matrix-based evolutionary algorithm for large-scale sparse multiobjective optimization problems8
A knowledge-driven memetic algorithm for energy-aware flexible job shop scheduling with limited AGV transportation7
Hierarchical heterogeneous graph learning for color-missing ALS pointcloud segmentation7
Automated design of state transition rules in ant colony optimization by genetic programming: a comprehensive investigation7
Optimal operator selection based on the hybrid operator selection strategy7
An ensemble learning algorithm based on multimodal differential evolution and extreme learning machine7
An adaptive binary particle swarm optimization algorithm with filtration and local search for feature selection in text classification7
An efficient improved backbone network and dynamic head on YOLOv11 to the detection of student behavior6
A novel multi-agent architecture based on decomposition and learning automata to hybridize multi-objective metaheuristics6
A point crowding-degree based evolutionary algorithm for many-objective optimization6
Optimization design method for typical grassland perception robot system6
A memetic algorithm for a real-world dynamic pickup and delivery problem5
Ensemble mating strategy in evolutionary algorithms for multiobjective optimization5
A distributed individuals based multimodal multi-objective optimization differential evolution algorithm5
A decomposition-based many-objective evolutionary algorithm with weight grouping and adaptive adjustment5
Advancing food safety: deep learning for accurate detection of bacterial contaminants5
A mathematical analysis of EDAs with distance-based exponential models5
Parallel machine group scheduling with time-dependent setup time and combined effects of deterioration and learning5
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