Swarm and Evolutionary Computation

Papers
(The TQCC of Swarm and Evolutionary Computation is 15. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning220
Corrigendum to “Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm” [Swarm and Evolutionary Computation Vol213
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation148
Random projection enhancement: A Novel method for improving performance of surrogate models136
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time116
An optimized watermarking scheme based on genetic algorithm and elliptic curve113
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection109
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems108
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming99
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm94
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment94
Redefined decision variable analysis method for large-scale optimization and its application to feature selection91
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach91
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time90
Editorial Board89
Choice of benchmark optimization problems does matter78
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization73
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms71
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction70
Secure key based cloud security utilizing three-way protection with martino homomorphic encryption for preventing unauthorized data access69
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis68
A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems66
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing65
A coevolutionary algorithm for constrained multi-objective optimization with dynamic relaxation65
A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints64
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning62
Large language models as surrogate models in evolutionary algorithms: A preliminary study62
Differential evolution with evolutionary scale adaptation61
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications61
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization60
Population-level center-based sampling for meta-heuristic algorithms60
Exploring high-dimensional optimization by sparse and low-rank evolution strategy57
A manifold prediction strategy for evolutionary dynamic multiobjective optimization56
A Generational Difference Vector based Tri-Entropy Structure Optimizer for large-scale multiobjective optimization55
A bi-objective routing problem for cooperated trucks and drones in river water quality monitoring55
Dynamic multi-objective optimization algorithm based on incremental Gaussian mixture model54
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm53
On the representativeness metric of benchmark problems in numerical optimization52
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection51
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics51
Auxiliary optimization framework based on scaling transformation matrix for large-scale multi-objective problem50
Pareto multi-objective optimization for high locality-preserving space-filling curve identification50
A hybrid estimation of distribution algorithm for agile earth observing satellite task scheduling problem50
KDDCP: Kernel density driven cumulative probability-cooperated framework for constrained muti-objective optimization49
Decomposition-based dual-population evolutionary algorithm for constrained multi-objective problem48
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure48
A decimal artificial bee colony with elite strategy for the cutting stock problem with irregular items48
Welcome from Editor-in-Chief of Swarm and Evolutionary Computation48
A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts47
Greedy randomized adaptive search and benders decomposition algorithms to solve the distributed no-idle permutation flowshop scheduling problem47
Surrogate-assisted differential evolution: A survey46
IMNE: Maximizing influence through deep learning-based node embedding in social network46
Swarm intelligence applications for emergency evacuation planning: state of the art, recent developments, and future research opportunities46
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems46
A knee-oriented many-objective differential evolution with bi-strategy and Manhattan distance-domination range46
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks44
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times43
COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems43
A many-objective evolutionary algorithm based on constraints for collaborative computation offloading43
Induction of decision trees as classification models through metaheuristics43
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems43
Benchmark problems for large-scale constrained multi-objective optimization with baseline results43
A hybrid optimization algorithm for structural balance model based on influence between nodes and community quality42
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times42
A metaheuristic approach for mining gradual patterns42
On the elusivity of dynamic optimisation problems41
Evolutionary algorithm based on multi-probability distribution model for stochastic optimization41
Graph embedding based ant colony optimization for negative influence propagation suppression under cost constraints41
Intelligent pest trap monitoring under uncertainty in food industry41
Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm41
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization41
Solving electric vehicle–drone routing problem using memetic algorithm41
Historical knowledge transfer driven self-adaptive evolutionary multitasking algorithm with hybrid resource release for solving nonlinear equation systems39
Multi-objective optimization algorithm for multi-workflow computation offloading in resource-limited IIoT39
Incremental learning-enhanced ensemble surrogate-assisted evolutionary algorithm for lifelong berth allocation and quay crane assignment problems39
Balancing exploration and exploitation in dynamic constrained multimodal multi-objective co-evolutionary algorithm39
Optimum settings for discrete PID control of nonlinear systems38
MFWOA: Multifactorial Whale Optimization Algorithm38
A multi-objective benchmark for UAV path planning with baseline results38
Multitask particle swarm optimization algorithm leveraging variable chunking and local meta-knowledge transfer38
Adaptive knowledge transfer-based particle swarm optimization for constrained multitask optimization37
Evolutionary multistage multitasking method for feature selection in imbalanced data37
An optimized multi-source feature extraction model with black-winged kite algorithm for hourly seamless PM2.5 estimation37
A data-driven model assisted hybrid genetic algorithm for a two-dimensional shelf space allocation problem36
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs36
A high-dimensional feature selection algorithm via fast dimensionality reduction and multi-objective differential evolution36
Learning-infused optimization for evolutionary computation36
APSM-jSO: A novel jSO variant with an adaptive parameter selection mechanism and a new external archive updating mechanism35
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing35
Property of decision variables-inspired location strategy for multiobjective optimization35
Bankruptcy-evolutionary games based solution for the multi-agent credit assignment problem35
A novel hybrid particle swarm optimization with marine predators35
A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification35
A coevolutionary algorithm assisted by two archives for constrained multi-objective optimization problems34
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network34
Provable space discretization based evolutionary search for scalable multi-objective security games34
A many-objective optimization evolutionary algorithm based on hyper-dominance degree34
Expected coordinate improvement for high-dimensional Bayesian optimization34
Two-stage bidirectional coevolutionary algorithm for constrained multi-objective optimization33
A subspace strategy based coevolutionary framework for constrained multimodal multiobjective optimization problems33
Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization33
The IGD-based prediction strategy for dynamic multi-objective optimization33
Handling objective preference and variable uncertainty in evolutionary multi-objective optimization33
A self-adjusting representation-based multitask PSO for high-dimensional feature selection33
Reinforcement learning-integrated evolutionary algorithm for enhanced unmanned aerial vehicle coverage path planning32
Multi-strategy particle swarm optimization with adaptive forgetting for base station layout32
Surrogate-Assisted Differential Evolution Light Gradient Boosting Machine for Mangrove Aboveground Biomass inversion32
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms31
A two-stage cross-neighborhood search algorithm bridging different solution representation spaces for solving the hybrid flow shop scheduling problem31
An enhanced sparrow search swarm optimizer via multi-strategies for high-dimensional optimization problems31
A guided genetic programming with attribute node activation encoding for resource constrained project scheduling problem31
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study31
Convolutional neural network combined with reinforcement learning-based dual-mode grey wolf optimizer to identify crop diseases and pests30
Parallel fractional dominance MOEAs for feature subset selection in big data30
Modular interactive computation scheme for the internet of things assisted robotic services30
Constrained multi-objective evolutionary algorithm based on the correlation between objectives and constraints30
A matheuristic-based self-learning evolutionary algorithm for lot streaming hybrid flow shop group scheduling with limited auxiliary modules29
Enhancement of collaborative communication using optimized dynamic density graph convolutional networks in IoT-enabled intelligent surfaces29
Regularity-based evolutionary multi-objective optimization review29
Multi-task differential evolution algorithm with dynamic resource allocation: A study on e-waste recycling vehicle routing problem29
A constrained multi-objective optimization algorithm with adaptive dual-stage search strategy utilizing the relationship between different Pareto fronts29
An adaptive interval many-objective evolutionary algorithm with information entropy dominance28
A constrained multi-objective evolutionary algorithm based on online problem identification and separate handling28
A neighborhood comprehensive learning particle swarm optimization for the vehicle routing problem with time windows28
An improved genetic algorithm and clone selection optimization-based gated recurrent unit networks for earthquake magnitude prediction28
A congestion-based local search for transmission expansion planning problems28
Deep and wide search assisted evolutionary algorithm with reference vector guidance for many-objective optimization28
Blocking flowshop scheduling problems with release dates28
A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering27
Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment27
A decomposition-based many-objective ant colony optimization algorithm with adaptive solution construction and selection approaches27
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization27
A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery27
Adaptive Ant Colony Optimization with node clustering applied to the Travelling Salesman Problem26
An intelligent automated guided vehicle scheduling framework for manufacturing: Balancing energy, efficiency, and task completion26
Memetic algorithm based on learning and decomposition for multiobjective flexible job shop scheduling considering human factors26
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities26
An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization26
Distributed assembly flexible job shop scheduling with dual-resource constraints via a deep Q-network based memetic algorithm26
Differential evolution with orthogonal array‐based initialization and a novel selection strategy26
Enhanced multi-swarm cooperative particle swarm optimizer26
A steady-state weight adaptation method for decomposition-based evolutionary multi-objective optimisation26
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization25
Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification25
Multimodal multi-objective optimization: Comparative study of the state-of-the-art25
A novel disjunctive-graph-based meta-heuristic approach for multi-objective resource-constrained project scheduling problem with multi-skilled staff25
Teaching–learning based optimization of a multi-server machining model with emergency vacation and retention of reneged machines24
Mde-EvoNAS: Automatic network architecture design for monocular depth estimation via evolutionary neural architecture search24
BDE-Jaya: A binary discrete enhanced Jaya algorithm for multiple automated guided vehicle scheduling problem in matrix manufacturing workshop24
A knowledge transfer-based strategy for constrained multiobjective optimization24
A dynamic task-assisted constrained multimodal multi-objective optimization algorithm based on reinforcement learning24
Angle information enhanced kriging-assisted adaptive evolutionary algorithm for computationally highly expensive high-dimensional problems23
Helper objective-based multifactorial evolutionary algorithm for continuous optimization23
A comprehensive investigation on novel center-based sampling for large-scale global optimization23
An enhanced adaptive differential evolution algorithm with dual performance evaluation metrics for numerical optimization23
A distribution evolutionary algorithm for the graph coloring problem23
Fast thresholded concordance probability for evolutionary optimization23
Metaheuristics should be tested on large benchmark set with various numbers of function evaluations23
Manifold clustering-based prediction for dynamic multiobjective optimization23
A collaboration-based multi-objective algorithm for distributed hybrid flowshop scheduling with resource constraints23
Hierarchical structure-based joint operations algorithm for global optimization23
A Q-Learning based NSGA-II for dynamic flexible job shop scheduling22
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems22
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer’s Disease prediction through handwriting analysis22
State-space adaptive exploration for explainable particle swarm optimization22
PS-Tree: A piecewise symbolic regression tree22
A cluster-based genetic optimization method for satellite range scheduling system22
Efficient three-stage surrogate-assisted differential evolution for expensive optimization problems22
Two-level parameter cooperation-based population regeneration framework for differential evolution22
Tensor factorization-based particle swarm optimization for large-scale many-objective problems22
Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization22
Knowledge-assisted evolutionary task scheduling for hierarchical multiagent systems with transferable surrogates22
Collaborative scheduling of production resources and spare parts inventory for distributed equipment with feedback guidance and minimum capacity loss21
A novel penalty function-based interval constrained multi-objective optimization algorithm for uncertain problems21
A dynamic multi-objective optimization evolutionary algorithm based on classification of decision variables and inter-layer collaborative prediction21
A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem21
An improved adaptive hybrid algorithm for solving distributed flexible job shop scheduling problem21
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems21
A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction20
MjSO: A modified differential evolution with a probability selection mechanism and a directed mutation strategy20
An analysis of SAT constrained MNK-landscapes as benchmark problems for multi-objective evolutionary algorithms20
Meta-heuristic Techniques in Microgrid Management: A Survey20
A Tree neural network deep reinforcement learning for flexible job shop scheduling with transportation constraints20
A problem knowledge driven bi-population cooperative framework for time-varying ratio error estimation of voltage transformers20
Proximity ranking-based multimodal differential evolution20
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization20
Evolutionary multimodal multiobjective optimization guided by growing neural gas20
A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones20
Editorial Board20
A supervised parallel optimisation framework for metaheuristic algorithms20
Multi-guiding spark fireworks algorithm: Solving multimodal functions by multiple guiding sparks in fireworks algorithm20
A classification-assisted environmental selection strategy for multiobjective optimization20
IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization algorithm20
Editorial Board20
Thermal parameter identification of concrete dams based on hybrid particle swarm optimization using distributed optical fiber monitoring data20
Enhanced auxiliary population search for diversity improvement of constrained multiobjective coevolutionary optimization20
Offline evolutionary optimization with problem-driven model pool design and weighted model selection indicator19
Strengthened grey wolf optimization algorithms for numerical optimization tasks and AutoML19
Harmony search algorithm and related variants: A systematic review19
An improved arithmetic optimization algorithm based on reinforcement learning for global optimization and engineering design problems19
From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013–2023)19
DJAYA-RL: Discrete JAYA algorithm integrating reinforcement learning for the discounted {0-1} knapsack problem19
A particle swarm optimization-based deep clustering algorithm for power load curve analysis19
HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information19
Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm19
Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments19
Swarm flocking using optimisation for a self-organised collective motion19
An aRBF surrogate-assisted neighborhood field optimizer for expensive problems18
A new moving peaks benchmark with attractors for dynamic evolutionary algorithms18
Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time18
Reinforcement learning-assisted particle swarm algorithm for effluent scheduling problem with an influent estimation of WWTP18
Dynamic flexible job shop scheduling algorithm for multi-task collaborative optimization18
Q-learning assisted multi-objective evolutionary optimization for low-carbon scheduling of open-pit mine trucks18
Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times18
Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization18
A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts18
Non-equidistant grey prediction evolution algorithm: A mathematical model-based meta-heuristic technique18
Metaheuristic-optimized TabNet ensemble for accurate and interpretable obesity classification18
Editorial Board18
Decomposition-based evolutionary algorithm with dual adjustments for many-objective optimization problems18
Surrogate-assisted multi-objective optimization via knee-oriented Pareto front estimation18
Differential Evolution with perturbation mechanism and covariance matrix based stagnation indicator for numerical optimization18
Methodology for optimizing electrical grounding grids in stratified soils using advanced calculation techniques and evolutionary algorithms18
Parameter-less Pareto local search for multi-objective neural architecture search with the Interleaved Multi-start Scheme17
A frequent pattern-based coevolutionary framework for multi-component spectral feature selection17
A Q-learning-based biology migration algorithm for energy-saving flexible job shop scheduling with speed adjustable machines and transporters17
A dimensionality reduction assisted evolutionary algorithm for high-dimensional expensive multi/many-objective optimization17
Differential evolution based on strategy adaptation and deep reinforcement learning for multimodal optimization problems17
A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling17
Balancing objective and switch cost for robust optimization over time17
A dynamic evolution of graph structure-based algorithm for multi-modal multi-objective optimization17
Surrogate-assisted push and pull search for expensive constrained multi-objective optimization problems17
A coarse- and fine-grained niching-based differential evolution for multimodal optimization problems and its application in multirobot task allocation17
Adaptive distance-based multi-objective particle swarm optimization algorithm with simple position update17
Offspring regeneration driven by finite element mapping for large-scale evolutionary multiobjective optimization17
Lightweight bi-level optimization algorithm for synchronized scheduling of production and transportation in a reconfigurable flexible job shop17
A decompose-and-learn multi-objective algorithm for scheduling large-scale earth observation satellites17
Automated design of priority rules for resource-constrained project scheduling problem using surrogate-assisted genetic programming17
Hierarchical multi-objective optimization of proton exchange membrane fuel cell with parameter uncertainty17
Editorial Board17
A hybrid meta-heuristic for the flexible flow shop scheduling with blocking17
Impact of population topology on particle swarm optimization and its variants: An information propagation perspective16
Learning to search promising regions by space partitioning for evolutionary methods16
A new gradient free local search mechanism for constrained multi-objective optimization problems16
Structural bias in metaheuristic algorithms: Insights, open problems, and future prospects16
PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization16
Batch Bayesian optimization with adaptive batch acquisition functions via multi-objective optimization16
SF-FWA: A Self-Adaptive Fast Fireworks Algorithm for effective large-scale optimization16
Pruning for efficient DenseNet via surrogate-model-assisted genetic algorithm considering neural architecture search proxies15
A data augmentation based Kriging-assisted reference vector guided evolutionary algorithm for expensive dynamic multi-objective optimization15
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