OOIR: Observatory of International Research

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.)

Article	Citations
Multi-task Ant Colony Optimization for Multi-vehicle Path Planning	42
Measures of exploration and exploitation rates in MAs: classification, comparison, and convergence analysis	41
Adaptive transfer-matrix driven multi-objective multitask evolutionary optimization	27
A multi-level prediction and elite individual-assisted evolutionary algorithm for dynamic multi-objective optimization and application	15
Multi-level global and local fusion for multimodal sentiment analysis	14
Bi-objective influence maximization with consideration of node burden	11
A motivational model based on artificial biological functions for the intelligent decision-making of social robots	11
F-Chain: personalized overall survival prediction based on incremental adaptive indicators and multi-source clinical records	11
A diversity-aware memetic algorithm for the linear ordering Problem	11
Variable-universe fuzzy logic controller-based constrained multi- and many-objective evolutionary algorithm	10
Bootstrap contrastive domain adaptation	10
Multi-task assisted multi-objective optimization algorithm for autonomous underwater vehicle path planning	9
A clustering-based weighted optimization algorithm for large-scale multi-objective optimization problems	9
A regularity model-based multi-objective estimation of distribution memetic algorithm with auto-controllable population diversity	9
Bagging-based ensemble classifiers using multi-objective genetic programming	8
Parallel machine scheduling with job family, release time, and mold availability constraints: model and two solution approaches	8
An estimation of distribution algorithm-based hyper-heuristic for the blocking flowshop group scheduling problem	8
Two cooperative constraint handling techniques with an external archive for constrained multi-objective optimization	7
Optimal operator selection based on the hybrid operator selection strategy	7
Dynamic matrix-based evolutionary algorithm for large-scale sparse multiobjective optimization problems	7
An adaptive binary particle swarm optimization algorithm with filtration and local search for feature selection in text classification	7
A novel ensemble learning-based model for APT attack detection	7
A simple and scalable particle swarm optimization structure based on linear system theory	7
A knowledge-driven memetic algorithm for energy-aware flexible job shop scheduling with limited AGV transportation	6
An ensemble learning algorithm based on multimodal differential evolution and extreme learning machine	6

Hierarchical heterogeneous graph learning for color-missing ALS pointcloud segmentation	6
A memetic algorithm for a real-world dynamic pickup and delivery problem	6
Serial-batching scheduling in a fuzzy manufacturing system using a hybrid particle swarm optimization algorithm	6
Automated design of state transition rules in ant colony optimization by genetic programming: a comprehensive investigation	6
A decomposition-based many-objective evolutionary algorithm with weight grouping and adaptive adjustment	5
A q-learning assisted particle swarm optimization algorithm with dynamic niching selection for global optimization	5
Advancing food safety: deep learning for accurate detection of bacterial contaminants	5
A deep reinforcement learning method for dynamic flexible job shop scheduling via heterogeneous graph transformer	5
Bio-inspired model for oil production prediction: combining gene regulation-based optimization and radial basis function network	5
A point crowding-degree based evolutionary algorithm for many-objective optimization	5
An efficient improved backbone network and dynamic head on YOLOv11 to the detection of student behavior	5
A distributed individuals based multimodal multi-objective optimization differential evolution algorithm	5
Ensemble mating strategy in evolutionary algorithms for multiobjective optimization	5
A novel multi-agent architecture based on decomposition and learning automata to hybridize multi-objective metaheuristics	5
Optimization design method for typical grassland perception robot system	5
Parallel machine group scheduling with time-dependent setup time and combined effects of deterioration and learning	5
An optimization method for pruning rates of each layer in CNN based on the GA-SMSM	5