Memetic Computing

Papers
(The TQCC of Memetic Computing is 9. 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 2020-02-01 to 2024-02-01.)
ArticleCitations
MLFS-CCDE: multi-objective large-scale feature selection by cooperative coevolutionary differential evolution79
Chaotic-based grey wolf optimizer for numerical and engineering optimization problems23
A comparative study between artificial bee colony (ABC) algorithm and its variants on big data optimization22
Integrated production and distribution scheduling in distributed hybrid flow shops22
Adaptive chaotic spherical evolution algorithm20
Balancing performance between the decision space and the objective space in multimodal multiobjective optimization18
Hybrid many-objective cuckoo search algorithm with Lévy and exponential distributions16
A framework for expensive many-objective optimization with Pareto-based bi-indicator infill sampling criterion15
A random forest assisted evolutionary algorithm using competitive neighborhood search for expensive constrained combinatorial optimization15
Multifactorial evolutionary algorithm for solving clustered tree problems: competition among Cayley codes15
Solving vehicle routing problem by memetic search with evolutionary multitasking14
AntPu: a meta-heuristic approach for energy-efficient and SLA aware management of virtual machines in cloud computing14
The capacitated dispersion problem: an optimization model and a memetic algorithm13
A study on multiform multi-objective evolutionary optimization12
Multi-task gradient descent for multi-task learning12
M-Link: a link clustering memetic algorithm for overlapping community detection12
Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors11
Integrated scheduling problem for earth observation satellites based on three modeling frameworks: an adaptive bi-objective memetic algorithm11
Dynamic grid-based uniform search for solving constrained multiobjective optimization problems10
A light-robust-optimization model and an effective memetic algorithm for an open vehicle routing problem under uncertain travel times10
Development of a multi-objective artificial tree (MOAT) algorithm and its application in acoustic metamaterials10
An effective memetic algorithm for UAV routing and orientation under uncertain navigation environments10
An adaptive niching method based on multi-strategy fusion for multimodal optimization9
Multi-objective deep reinforcement learning for emergency scheduling in a water distribution network9
An improved multi-objective learning automata and its application in VLSI circuit design9
A decomposition-based evolutionary algorithm for scalable multi/many-objective optimization9
Local search methods for type I mixed-model two-sided assembly line balancing problems9
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