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 2021-09-01 to 2025-09-01.)
ArticleCitations
Measures of exploration and exploitation rates in MAs: classification, comparison, and convergence analysis40
Multi-task Ant Colony Optimization for Multi-vehicle Path Planning30
F-Chain: personalized overall survival prediction based on incremental adaptive indicators and multi-source clinical records27
A motivational model based on artificial biological functions for the intelligent decision-making of social robots20
A diversity-aware memetic algorithm for the linear ordering Problem19
Bi-objective influence maximization with consideration of node burden18
Bootstrap contrastive domain adaptation16
Preference based multi-objective reinforcement learning for multi-microgrid system optimization problem in smart grid16
Bagging-based ensemble classifiers using multi-objective genetic programming15
A clustering-based weighted optimization algorithm for large-scale multi-objective optimization problems15
An estimation of distribution algorithm-based hyper-heuristic for the blocking flowshop group scheduling problem15
Multi-task assisted multi-objective optimization algorithm for autonomous underwater vehicle path planning15
A regularity model-based multi-objective estimation of distribution memetic algorithm with auto-controllable population diversity13
System-in-package design using multi-task memetic learning and optimization12
Parallel machine scheduling with job family, release time, and mold availability constraints: model and two solution approaches12
The design of evolutionary feature selection operator for the micro-expression recognition12
Dynamic matrix-based evolutionary algorithm for large-scale sparse multiobjective optimization problems11
A simple and scalable particle swarm optimization structure based on linear system theory11
Optimal operator selection based on the hybrid operator selection strategy10
Two cooperative constraint handling techniques with an external archive for constrained multi-objective optimization10
Hierarchical heterogeneous graph learning for color-missing ALS pointcloud segmentation10
A novel ensemble learning-based model for APT attack detection10
Automated design of state transition rules in ant colony optimization by genetic programming: a comprehensive investigation8
An ensemble learning algorithm based on multimodal differential evolution and extreme learning machine8
Solving vehicle routing problem by memetic search with evolutionary multitasking7
Optimization design method for typical grassland perception robot system7
A multipopulation evolutionary framework with Steffensen’s method for dynamic multiobjective optimization problems7
A point crowding-degree based evolutionary algorithm for many-objective optimization6
A novel multi-agent architecture based on decomposition and learning automata to hybridize multi-objective metaheuristics6
A memetic algorithm for a real-world dynamic pickup and delivery problem6
A framework for expensive many-objective optimization with Pareto-based bi-indicator infill sampling criterion5
A decomposition-based many-objective evolutionary algorithm with weight grouping and adaptive adjustment5
A distributed individuals based multimodal multi-objective optimization differential evolution algorithm5
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