Swarm and Evolutionary Computation

Papers
(The median citation count of Swarm and Evolutionary Computation 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 2021-12-01 to 2025-12-01.)
ArticleCitations
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning223
Corrigendum to “Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm” [Swarm and Evolutionary Computation Vol220
A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints154
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation139
Random projection enhancement: A Novel method for improving performance of surrogate models117
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm116
Editorial Board110
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization109
Secure key based cloud security utilizing three-way protection with martino homomorphic encryption for preventing unauthorized data access100
A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems98
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization98
Multifactorial differential evolution enhanced by adaptive Gaussian-mixture-model-based knowledge transfer97
A coevolutionary algorithm for constrained multi-objective optimization with dynamic relaxation93
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications92
Choice of benchmark optimization problems does matter91
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems81
Differential evolution with evolutionary scale adaptation78
Redefined decision variable analysis method for large-scale optimization and its application to feature selection76
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment74
Dual-individual genetic algorithm: A dual-individual approach for efficient training of multi-layer neural networks73
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning72
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis69
An optimized watermarking scheme based on genetic algorithm and elliptic curve68
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming68
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection66
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing66
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time63
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction62
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time62
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach62
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms61
Large language models as surrogate models in evolutionary algorithms: A preliminary study59
Population-level center-based sampling for meta-heuristic algorithms58
A Generational Difference Vector based Tri-Entropy Structure Optimizer for large-scale multiobjective optimization57
Exploring high-dimensional optimization by sparse and low-rank evolution strategy57
A bi-objective routing problem for cooperated trucks and drones in river water quality monitoring56
Pareto multi-objective optimization for high locality-preserving space-filling curve identification55
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics55
A hybrid estimation of distribution algorithm for agile earth observing satellite task scheduling problem54
IMNE: Maximizing influence through deep learning-based node embedding in social network53
COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems53
Auxiliary optimization framework based on scaling transformation matrix for large-scale multi-objective problem52
KDDCP: Kernel density driven cumulative probability-cooperated framework for constrained muti-objective optimization51
A knee-oriented many-objective differential evolution with bi-strategy and Manhattan distance-domination range50
Welcome from Editor-in-Chief of Swarm and Evolutionary Computation50
Greedy randomized adaptive search and benders decomposition algorithms to solve the distributed no-idle permutation flowshop scheduling problem50
Swarm intelligence applications for emergency evacuation planning: state of the art, recent developments, and future research opportunities50
A decimal artificial bee colony with elite strategy for the cutting stock problem with irregular items50
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm49
A hybrid optimization algorithm for structural balance model based on influence between nodes and community quality49
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection48
On the elusivity of dynamic optimisation problems48
Dynamic multi-objective optimization algorithm based on incremental Gaussian mixture model48
A metaheuristic approach for mining gradual patterns48
On the representativeness metric of benchmark problems in numerical optimization47
A manifold prediction strategy for evolutionary dynamic multiobjective optimization46
GTG-ACO: Graph Transformer Guided Ant Colony Optimization for learning heuristics and pheromone dynamics for combinatorial optimization46
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks46
Differential evolution with bi-strategy co-deployment framework and diversity improvement45
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization45
Benchmark problems for large-scale constrained multi-objective optimization with baseline results44
Decomposition-based dual-population evolutionary algorithm for constrained multi-objective problem44
Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm44
A many-objective evolutionary algorithm based on constraints for collaborative computation offloading43
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times43
Solving electric vehicle–drone routing problem using memetic algorithm43
A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts43
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems43
Integrating evacuation and relief redistribution into last-mile relief network design: A two-stage distributionally robust optimization approach43
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure42
Graph embedding based ant colony optimization for negative influence propagation suppression under cost constraints42
Induction of decision trees as classification models through metaheuristics42
Surrogate-assisted differential evolution: A survey42
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems40
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times40
Property of decision variables-inspired location strategy for multiobjective optimization40
Intelligent pest trap monitoring under uncertainty in food industry40
Expected coordinate improvement for high-dimensional Bayesian optimization40
Bankruptcy-evolutionary games based solution for the multi-agent credit assignment problem39
Optimum settings for discrete PID control of nonlinear systems39
Learning-infused optimization for evolutionary computation39
MFWOA: Multifactorial Whale Optimization Algorithm39
APSM-jSO: A novel jSO variant with an adaptive parameter selection mechanism and a new external archive updating mechanism38
Cluster and reinforcement learning-based multi-objective evolutionary algorithm for joint scheduling of virtual machines and prioritize tasks in cloud computing38
A many-objective optimization evolutionary algorithm based on hyper-dominance degree38
An optimized multi-source feature extraction model with black-winged kite algorithm for hourly seamless PM2.5 estimation38
A coevolutionary algorithm assisted by two archives for constrained multi-objective optimization problems38
Evolutionary algorithm based on multi-probability distribution model for stochastic optimization38
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing37
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network37
A high-dimensional feature selection algorithm via fast dimensionality reduction and multi-objective differential evolution37
Multi-objective optimization algorithm for multi-workflow computation offloading in resource-limited IIoT37
A novel hybrid particle swarm optimization with marine predators36
Balancing exploration and exploitation in dynamic constrained multimodal multi-objective co-evolutionary algorithm36
Historical knowledge transfer driven self-adaptive evolutionary multitasking algorithm with hybrid resource release for solving nonlinear equation systems36
A multi-objective benchmark for UAV path planning with baseline results36
Evolutionary multistage multitasking method for feature selection in imbalanced data36
Incremental learning-enhanced ensemble surrogate-assisted evolutionary algorithm for lifelong berth allocation and quay crane assignment problems35
Adaptive knowledge transfer-based particle swarm optimization for constrained multitask optimization35
A data-driven model assisted hybrid genetic algorithm for a two-dimensional shelf space allocation problem35
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs34
Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization34
A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification34
Provable space discretization based evolutionary search for scalable multi-objective security games34
Multitask particle swarm optimization algorithm leveraging variable chunking and local meta-knowledge transfer34
Surrogate-Assisted Differential Evolution Light Gradient Boosting Machine for Mangrove Aboveground Biomass inversion33
Multi-strategy particle swarm optimization with adaptive forgetting for base station layout33
Two-stage bidirectional coevolutionary algorithm for constrained multi-objective optimization33
A guided genetic programming with attribute node activation encoding for resource constrained project scheduling problem32
A subspace strategy based coevolutionary framework for constrained multimodal multiobjective optimization problems32
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms32
An adaptive weight optimization algorithm based on decision variable grouping for large-scale multi-objective optimization problems32
A self-adjusting representation-based multitask PSO for high-dimensional feature selection32
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study32
Modular interactive computation scheme for the internet of things assisted robotic services31
A large-scale multi-objective optimization framework based on a dual-space attention mechanism31
Reinforcement learning-integrated evolutionary algorithm for enhanced unmanned aerial vehicle coverage path planning31
The IGD-based prediction strategy for dynamic multi-objective optimization31
An enhanced sparrow search swarm optimizer via multi-strategies for high-dimensional optimization problems31
Handling objective preference and variable uncertainty in evolutionary multi-objective optimization31
A two-stage cross-neighborhood search algorithm bridging different solution representation spaces for solving the hybrid flow shop scheduling problem31
A steady-state weight adaptation method for decomposition-based evolutionary multi-objective optimisation30
Deep and wide search assisted evolutionary algorithm with reference vector guidance for many-objective optimization30
DA2MODE: Dynamic Archive with Adaptive Multi-Operator Differential Evolution for numerical optimization30
An adaptive interval many-objective evolutionary algorithm with information entropy dominance30
Distributed assembly flexible job shop scheduling with dual-resource constraints via a deep Q-network based memetic algorithm30
Enhancement of collaborative communication using optimized dynamic density graph convolutional networks in IoT-enabled intelligent surfaces30
A novel disjunctive-graph-based meta-heuristic approach for multi-objective resource-constrained project scheduling problem with multi-skilled staff30
Differential evolution with orthogonal array‐based initialization and a novel selection strategy30
Regularity-based evolutionary multi-objective optimization review29
A constrained multi-objective optimization algorithm with adaptive dual-stage search strategy utilizing the relationship between different Pareto fronts29
A decomposition-based many-objective ant colony optimization algorithm with adaptive solution construction and selection approaches28
A constrained multi-objective evolutionary algorithm based on online problem identification and separate handling28
An improved genetic algorithm and clone selection optimization-based gated recurrent unit networks for earthquake magnitude prediction28
Blocking flowshop scheduling problems with release dates28
A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery28
Constrained multi-objective evolutionary algorithm based on the correlation between objectives and constraints28
A neighborhood comprehensive learning particle swarm optimization for the vehicle routing problem with time windows27
Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment27
Convolutional neural network combined with reinforcement learning-based dual-mode grey wolf optimizer to identify crop diseases and pests27
An intelligent automated guided vehicle scheduling framework for manufacturing: Balancing energy, efficiency, and task completion27
A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering26
Parallel fractional dominance MOEAs for feature subset selection in big data26
Adaptive Ant Colony Optimization with node clustering applied to the Travelling Salesman Problem26
An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization25
Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification24
Enhanced multi-swarm cooperative particle swarm optimizer24
A matheuristic-based self-learning evolutionary algorithm for lot streaming hybrid flow shop group scheduling with limited auxiliary modules24
Multimodal multi-objective optimization: Comparative study of the state-of-the-art24
A multiple direction search algorithm for continuous optimization24
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities24
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization24
A congestion-based local search for transmission expansion planning problems24
Multi-task differential evolution algorithm with dynamic resource allocation: A study on e-waste recycling vehicle routing problem24
Memetic algorithm based on learning and decomposition for multiobjective flexible job shop scheduling considering human factors24
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization24
Efficient three-stage surrogate-assisted differential evolution for expensive optimization problems23
Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization23
Fast thresholded concordance probability for evolutionary optimization23
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer’s Disease prediction through handwriting analysis23
A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem23
Teaching–learning based optimization of a multi-server machining model with emergency vacation and retention of reneged machines23
A comprehensive investigation on novel center-based sampling for large-scale global optimization23
PS-Tree: A piecewise symbolic regression tree23
State-space adaptive exploration for explainable particle swarm optimization23
Two-level parameter cooperation-based population regeneration framework for differential evolution23
Metaheuristics should be tested on large benchmark set with various numbers of function evaluations23
A knowledge transfer-based strategy for constrained multiobjective optimization23
Tensor factorization-based particle swarm optimization for large-scale many-objective problems23
GMO: A general multimodal optimization framework applicable to various global metaheuristic algorithms23
An enhanced adaptive differential evolution algorithm with dual performance evaluation metrics for numerical optimization23
A dynamic task-assisted constrained multimodal multi-objective optimization algorithm based on reinforcement learning23
Manifold clustering-based prediction for dynamic multiobjective optimization22
Mde-EvoNAS: Automatic network architecture design for monocular depth estimation via evolutionary neural architecture search22
Collaborative scheduling of production resources and spare parts inventory for distributed equipment with feedback guidance and minimum capacity loss22
Helper objective-based multifactorial evolutionary algorithm for continuous optimization22
Knowledge-assisted evolutionary task scheduling for hierarchical multiagent systems with transferable surrogates22
Angle information enhanced kriging-assisted adaptive evolutionary algorithm for computationally highly expensive high-dimensional problems22
A distribution evolutionary algorithm for the graph coloring problem22
A collaboration-based multi-objective algorithm for distributed hybrid flowshop scheduling with resource constraints22
Hierarchical structure-based joint operations algorithm for global optimization22
Exploratory landscape analysis on black-box optimization problems via Graph Neural Network22
IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization algorithm21
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems21
An improved adaptive hybrid algorithm for solving distributed flexible job shop scheduling problem21
A Q-Learning based NSGA-II for dynamic flexible job shop scheduling21
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems21
BDE-Jaya: A binary discrete enhanced Jaya algorithm for multiple automated guided vehicle scheduling problem in matrix manufacturing workshop21
A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction21
A novel penalty function-based interval constrained multi-objective optimization algorithm for uncertain problems21
A cluster-based genetic optimization method for satellite range scheduling system21
Editorial Board20
A classification-assisted environmental selection strategy for multiobjective optimization20
An analysis of SAT constrained MNK-landscapes as benchmark problems for multi-objective evolutionary algorithms20
Enhanced auxiliary population search for diversity improvement of constrained multiobjective coevolutionary optimization20
MjSO: A modified differential evolution with a probability selection mechanism and a directed mutation strategy20
Editorial Board20
A Tree neural network deep reinforcement learning for flexible job shop scheduling with transportation constraints20
Proximity ranking-based multimodal differential evolution20
From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013–2023)20
A problem knowledge driven bi-population cooperative framework for time-varying ratio error estimation of voltage transformers20
DJAYA-RL: Discrete JAYA algorithm integrating reinforcement learning for the discounted {0-1} knapsack problem20
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization20
Offline evolutionary optimization with problem-driven model pool design and weighted model selection indicator20
Multi-guiding spark fireworks algorithm: Solving multimodal functions by multiple guiding sparks in fireworks algorithm20
A supervised parallel optimisation framework for metaheuristic algorithms20
Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm19
Strengthened grey wolf optimization algorithms for numerical optimization tasks and AutoML19
A dynamic multi-objective optimization evolutionary algorithm based on classification of decision variables and inter-layer collaborative prediction19
Harmony search algorithm and related variants: A systematic review19
Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments19
Thermal parameter identification of concrete dams based on hybrid particle swarm optimization using distributed optical fiber monitoring data19
An improved arithmetic optimization algorithm based on reinforcement learning for global optimization and engineering design problems19
A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones19
Dynamic strategy-based hybrid genetic algorithm for solving multi-task decision-making problems for heterogeneous surface vessels19
HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information19
A Dynamic Multi-objective Optimization approach for computing resource allocation in industrial model repository19
Meta-heuristic Techniques in Microgrid Management: A Survey19
Evolutionary multimodal multiobjective optimization guided by growing neural gas19
Dynamic flexible job shop scheduling algorithm for multi-task collaborative optimization18
Editorial Board18
Methodology for optimizing electrical grounding grids in stratified soils using advanced calculation techniques and evolutionary algorithms18
Improved crayfish optimization algorithm based on multimodal collaborative search and dynamic distribution perturbation for estimating State-of-Health of lithium-ion batteries18
Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization18
Reinforcement learning-assisted particle swarm algorithm for effluent scheduling problem with an influent estimation of WWTP18
Metaheuristic-optimized TabNet ensemble for accurate and interpretable obesity classification18
A new moving peaks benchmark with attractors for dynamic evolutionary algorithms18
An effective combination of mechanisms for particle swarm optimization-based ensemble strategy18
Differential Evolution with perturbation mechanism and covariance matrix based stagnation indicator for numerical optimization18
Swarm flocking using optimisation for a self-organised collective motion18
An aRBF surrogate-assisted neighborhood field optimizer for expensive problems18
Decomposition-based evolutionary algorithm with dual adjustments for many-objective optimization problems18
Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time18
Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times18
Surrogate-assisted multi-objective optimization via knee-oriented Pareto front estimation18
Non-equidistant grey prediction evolution algorithm: A mathematical model-based meta-heuristic technique18
Q-learning assisted multi-objective evolutionary optimization for low-carbon scheduling of open-pit mine trucks18
Balancing objective and switch cost for robust optimization over time17
A frequent pattern-based coevolutionary framework for multi-component spectral feature selection17
Learning to search promising regions by space partitioning for evolutionary methods17
Penalty and prediction methods for dynamic constrained multi-objective optimization17
A coarse- and fine-grained niching-based differential evolution for multimodal optimization problems and its application in multirobot task allocation17
Lightweight bi-level optimization algorithm for synchronized scheduling of production and transportation in a reconfigurable flexible job shop17
Editorial Board17
Structural bias in metaheuristic algorithms: Insights, open problems, and future prospects17
A new gradient free local search mechanism for constrained multi-objective optimization problems17
A particle swarm optimization-based deep clustering algorithm for power load curve analysis17
A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts17
A diversity-driven migration strategy for distributed evolutionary algorithms17
A decompose-and-learn multi-objective algorithm for scheduling large-scale earth observation satellites17
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