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 2022-06-01 to 2026-06-01.)
ArticleCitations
Editorial Board178
Multifactorial differential evolution enhanced by adaptive Gaussian-mixture-model-based knowledge transfer152
Corrigendum to “Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm” [Swarm and Evolutionary Computation Vol128
Redefined decision variable analysis method for large-scale optimization and its application to feature selection124
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm122
A knee-guided prediction model oriented to population composition structures for dynamic multi-objective evolutionary optimization121
A global feedback learning-based memetic algorithm for energy-aware scheduling in collaborative heterogeneous flexible job shops114
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time110
Differential evolution with evolutionary scale adaptation108
A two-stage adaptive variable neighborhood search approach for electric vehicle routing problem with fuzzy demand108
Choice of benchmark optimization problems does matter106
A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints93
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming92
Conditional diffusion with gradient guidance for high-dimensional expensive multi-objective optimization91
Dual-individual genetic algorithm: A dual-individual approach for efficient training of multi-layer neural networks86
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning82
Secure key based cloud security utilizing three-way protection with martino homomorphic encryption for preventing unauthorized data access81
A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems79
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection78
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation78
Random projection enhancement: A Novel method for improving performance of surrogate models77
An optimized watermarking scheme based on genetic algorithm and elliptic curve75
Large language models as surrogate models in evolutionary algorithms: A preliminary study74
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning74
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms74
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction72
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment70
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time69
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis69
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization66
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing65
A coevolutionary algorithm for constrained multi-objective optimization with dynamic relaxation61
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications61
Population-level center-based sampling for meta-heuristic algorithms61
A Generational Difference Vector based Tri-Entropy Structure Optimizer for large-scale multiobjective optimization60
Exploring high-dimensional optimization by sparse and low-rank evolution strategy60
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times60
A manifold prediction strategy for evolutionary dynamic multiobjective optimization59
Graph embedding based ant colony optimization for negative influence propagation suppression under cost constraints58
Swarm intelligence applications for emergency evacuation planning: state of the art, recent developments, and future research opportunities57
Pareto multi-objective optimization for high locality-preserving space-filling curve identification57
Integrating evacuation and relief redistribution into last-mile relief network design: A two-stage distributionally robust optimization approach56
Multi-objective evolutionary algorithms for solving a green multi-item fixed-charge 5D transportation problem under intuitionistic fuzzy uncertainty56
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems56
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization55
Differential evolution with bi-strategy co-deployment framework and diversity improvement55
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks55
KDDCP: Kernel density driven cumulative probability-cooperated framework for constrained muti-objective optimization54
Welcome from Editor-in-Chief of Swarm and Evolutionary Computation53
A multi-objective hierarchical aggregation optimization algorithm for dynamic network structures in federated learning51
Greedy randomized adaptive search and benders decomposition algorithms to solve the distributed no-idle permutation flowshop scheduling problem51
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics51
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems49
Auxiliary optimization framework based on scaling transformation matrix for large-scale multi-objective problem49
A hybrid estimation of distribution algorithm for agile earth observing satellite task scheduling problem49
A knee-oriented many-objective differential evolution with bi-strategy and Manhattan distance-domination range49
IMNE: Maximizing influence through deep learning-based node embedding in social network49
On the elusivity of dynamic optimisation problems48
A metaheuristic approach for mining gradual patterns48
A bi-objective routing problem for cooperated trucks and drones in river water quality monitoring47
Surrogate-assisted differential evolution: A survey47
A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts47
An intelligent hybrid model using GatedTriBERT and DE-ARL for accurate translation quality assessment46
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection46
A many-objective evolutionary algorithm based on constraints for collaborative computation offloading46
Dynamic multi-objective optimization algorithm based on incremental Gaussian mixture model46
Solving electric vehicle–drone routing problem using memetic algorithm46
Optimizing multi-period multi-mode multi-time window home health care scheduling with an improved tabu search algorithm45
On the representativeness metric of benchmark problems in numerical optimization45
A decimal artificial bee colony with elite strategy for the cutting stock problem with irregular items45
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm45
Decomposition-based dual-population evolutionary algorithm for constrained multi-objective problem45
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure45
A hybrid surrogate-assisted evolutionary algorithm for technician routing and scheduling problems44
QACO: An adaptive multi-phase ant colony optimization approach for robust feature selection44
Dual-self-learning knowledge-based local search approach for lot-streaming flexible job shop scheduling with asynchronous assembly44
Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm43
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times43
A knowledge transfer-based membrane evolutionary algorithm for solving large-scale sorted waste collection problem with timeliness43
GTG-ACO: Graph Transformer Guided Ant Colony Optimization for learning heuristics and pheromone dynamics for combinatorial optimization43
Intelligent pest trap monitoring under uncertainty in food industry43
Benchmark problems for large-scale constrained multi-objective optimization with baseline results43
A multi-objective benchmark for UAV path planning with baseline results43
Expected coordinate improvement for high-dimensional Bayesian optimization42
Adaptive knowledge transfer-based particle swarm optimization for constrained multitask optimization42
Bankruptcy-evolutionary games based solution for the multi-agent credit assignment problem41
A coevolutionary algorithm assisted by two archives for constrained multi-objective optimization problems41
A high-dimensional feature selection algorithm via fast dimensionality reduction and multi-objective differential evolution41
Balancing exploration and exploitation in dynamic constrained multimodal multi-objective co-evolutionary algorithm41
Multitask particle swarm optimization algorithm leveraging variable chunking and local meta-knowledge transfer41
An effective auxiliary task for volumetric modulated arc therapy planning40
An optimized multi-source feature extraction model with black-winged kite algorithm for hourly seamless PM2.5 estimation40
A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification39
Evolutionary algorithm based on multi-probability distribution model for stochastic optimization39
Historical knowledge transfer driven self-adaptive evolutionary multitasking algorithm with hybrid resource release for solving nonlinear equation systems38
Incremental learning-enhanced ensemble surrogate-assisted evolutionary algorithm for lifelong berth allocation and quay crane assignment problems38
MFWOA: Multifactorial Whale Optimization Algorithm37
Property of decision variables-inspired location strategy for multiobjective optimization37
Evolutionary multistage multitasking method for feature selection in imbalanced data37
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network36
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs36
A many-objective optimization evolutionary algorithm based on hyper-dominance degree35
APSM-jSO: A novel jSO variant with an adaptive parameter selection mechanism and a new external archive updating mechanism35
Learning-infused optimization for evolutionary computation35
Optimum settings for discrete PID control of nonlinear systems35
Multi-objective optimization algorithm for multi-workflow computation offloading in resource-limited IIoT34
Cluster and reinforcement learning-based multi-objective evolutionary algorithm for joint scheduling of virtual machines and prioritize tasks in cloud computing34
A data-driven model assisted hybrid genetic algorithm for a two-dimensional shelf space allocation problem34
A novel hybrid particle swarm optimization with marine predators34
Advanced Self-Adaptive Distributed Differential Evolution with Hierarchical Learning algorithm for multimodal optimization in communication system34
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms33
A Multi-population genetic programming algorithm to model estimation for LLC resonant converter32
Surrogate-Assisted Differential Evolution Light Gradient Boosting Machine for Mangrove Aboveground Biomass inversion32
The IGD-based prediction strategy for dynamic multi-objective optimization31
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
Handling objective preference and variable uncertainty in evolutionary multi-objective optimization31
A large-scale multi-objective optimization framework based on a dual-space attention mechanism31
Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization31
An adaptive weight optimization algorithm based on decision variable grouping for large-scale multi-objective optimization problems31
A self-adjusting representation-based multitask PSO for high-dimensional feature selection31
A two-stage cross-neighborhood search algorithm bridging different solution representation spaces for solving the hybrid flow shop scheduling problem30
Provable space discretization based evolutionary search for scalable multi-objective security games30
Multi-strategy particle swarm optimization with adaptive forgetting for base station layout30
Advancing aerial robotics: a multi-strategy optimization framework for intelligent Hexarotor control30
Reinforcement learning-integrated evolutionary algorithm for enhanced unmanned aerial vehicle coverage path planning29
An enhanced sparrow search swarm optimizer via multi-strategies for high-dimensional optimization problems29
Parallel fractional dominance MOEAs for feature subset selection in big data29
SFG-DE: An explainable and evolvable differential evolution for learning to generate operator structures29
A subspace strategy based coevolutionary framework for constrained multimodal multiobjective optimization problems29
Two-stage bidirectional coevolutionary algorithm for constrained multi-objective optimization29
DA2MODE: Dynamic Archive with Adaptive Multi-Operator Differential Evolution for numerical optimization28
A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery28
Blocking flowshop scheduling problems with release dates28
Multi-task differential evolution algorithm with dynamic resource allocation: A study on e-waste recycling vehicle routing problem28
A novel disjunctive-graph-based meta-heuristic approach for multi-objective resource-constrained project scheduling problem with multi-skilled staff28
A matheuristic-based self-learning evolutionary algorithm for lot streaming hybrid flow shop group scheduling with limited auxiliary modules28
A steady-state weight adaptation method for decomposition-based evolutionary multi-objective optimisation28
An improved genetic algorithm and clone selection optimization-based gated recurrent unit networks for earthquake magnitude prediction28
Constrained multi-objective evolutionary algorithm based on the correlation between objectives and constraints28
Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification28
An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization28
An intelligent automated guided vehicle scheduling framework for manufacturing: Balancing energy, efficiency, and task completion27
Distributed assembly flexible job shop scheduling with dual-resource constraints via a deep Q-network based memetic algorithm27
Memetic algorithm based on learning and decomposition for multiobjective flexible job shop scheduling considering human factors27
Decomposition-based multi-objective evolutionary algorithm for bi-optimal selection27
A novel plug-and-play meta-black-box optimization module based on video streams for non-contact physiological signal extraction27
Partition-informed Ant Colony Optimization for min–max multiple TSP27
A congestion-based local search for transmission expansion planning problems27
A constrained multi-objective evolutionary algorithm based on online problem identification and separate handling26
Differential evolution with a variance contribution ratio-based diversity enhancement mechanism for numerical optimization26
Enhancement of collaborative communication using optimized dynamic density graph convolutional networks in IoT-enabled intelligent surfaces26
A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering26
Regularity-based evolutionary multi-objective optimization review26
An adaptive interval many-objective evolutionary algorithm with information entropy dominance26
A multiple direction search algorithm for continuous optimization26
Hybrid evolutionary framework with multiple fragmentation strategies and reinforcement learning for multi-objective molecule generation26
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization26
Convolutional neural network combined with reinforcement learning-based dual-mode grey wolf optimizer to identify crop diseases and pests25
A collaborative evolution strategy for dynamic multi-objective optimization based on charged individual prediction25
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities25
Fast thresholded concordance probability for evolutionary optimization25
Multimodal multi-objective optimization: Comparative study of the state-of-the-art25
A neighborhood comprehensive learning particle swarm optimization for the vehicle routing problem with time windows25
Deep and wide search assisted evolutionary algorithm with reference vector guidance for many-objective optimization25
Angle information enhanced kriging-assisted adaptive evolutionary algorithm for computationally highly expensive high-dimensional problems25
Reinforcement learning-assisted evolutionary auxiliary optimization for multi-workflow scheduling in clouds25
A decision variable type mining-based two-stage evolutionary algorithm for sparse large-scale bi-objective optimization25
Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment25
GMO: A general multimodal optimization framework applicable to various global metaheuristic algorithms25
A constrained multi-objective optimization algorithm with adaptive dual-stage search strategy utilizing the relationship between different Pareto fronts25
Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization24
A hybrid evolutionary algorithm for 2D variable-sized bin packing with guillotine constraint in manufacturing24
A novel penalty function-based interval constrained multi-objective optimization algorithm for uncertain problems24
A knowledge transfer-based strategy for constrained multiobjective optimization24
An enhanced adaptive differential evolution algorithm with dual performance evaluation metrics for numerical optimization24
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems24
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer’s Disease prediction through handwriting analysis24
Evaluation-based multi-objective optimization for responsive-resilient supply chain network under hybrid uncertainty24
A distribution evolutionary algorithm for the graph coloring problem24
Exploratory landscape analysis on black-box optimization problems via Graph Neural Network24
Teaching–learning based optimization of a multi-server machining model with emergency vacation and retention of reneged machines24
Synthetic pertinence clustering and reinforced evolutionary algorithm for the hybrid E-commerce green location routing problem23
Helper objective-based multifactorial evolutionary algorithm for continuous optimization23
Efficient three-stage surrogate-assisted differential evolution for expensive optimization problems23
A cluster-based genetic optimization method for satellite range scheduling system23
A collaboration-based multi-objective algorithm for distributed hybrid flowshop scheduling with resource constraints23
Metaheuristics should be tested on large benchmark set with various numbers of function evaluations23
Manifold clustering-based prediction for dynamic multiobjective optimization23
PS-Tree: A piecewise symbolic regression tree23
Knowledge-assisted evolutionary task scheduling for hierarchical multiagent systems with transferable surrogates23
GDG: An evolutionary oversampling framework integrating Gaussian mixture modeling and genetic algorithm23
Multiform optimization with coupled subspace alignment and two-stage adaptive differential evolution for interval constrained scheduling of coal mine integrated energy systems23
State-space adaptive exploration for explainable particle swarm optimization23
Mde-EvoNAS: Automatic network architecture design for monocular depth estimation via evolutionary neural architecture search23
Collaborative scheduling of production resources and spare parts inventory for distributed equipment with feedback guidance and minimum capacity loss22
A dynamic task-assisted constrained multimodal multi-objective optimization algorithm based on reinforcement learning22
Hierarchical structure-based joint operations algorithm for global optimization22
A reinforcement learning-based artificial bee colony algorithm for resolving the UAV logistics path planning problem in a 3D space22
A comprehensive investigation on novel center-based sampling for large-scale global optimization22
BDE-Jaya: A binary discrete enhanced Jaya algorithm for multiple automated guided vehicle scheduling problem in matrix manufacturing workshop22
Particle swarm optimization based on K-means clustering and adaptive dual-groups strategy22
A neighborhood-based momentum approach to accelerate convergence in multi-objective optimization22
Two-level parameter cooperation-based population regeneration framework for differential evolution22
A Q-Learning based NSGA-II for dynamic flexible job shop scheduling22
A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem22
An improved adaptive hybrid algorithm for solving distributed flexible job shop scheduling problem21
Dynamic strategy-based hybrid genetic algorithm for solving multi-task decision-making problems for heterogeneous surface vessels21
Editorial Board21
Editorial Board21
Proximity ranking-based multimodal differential evolution21
An analysis of SAT constrained MNK-landscapes as benchmark problems for multi-objective evolutionary algorithms21
A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction21
Transformer-accelerated multi-objective high-dimensional multi-fractional-order optimization algorithm for proportional-integral controller parameters tuning of doubly-fed induction generators21
A classification-assisted environmental selection strategy for multiobjective optimization21
Thermal parameter identification of concrete dams based on hybrid particle swarm optimization using distributed optical fiber monitoring data21
Evolutionary multimodal multiobjective optimization guided by growing neural gas20
Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments20
Balancing cost and influential ability under structural failures via a multi-objective approach20
Deep reinforcement learning based bi-level optimization for order acceptance and scheduling: A slow-moving inventory activation policy for resilient manufacturing20
From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013–2023)20
HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information20
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 data-driven bilevel optimization algorithm for multiple agile satellites task scheduling20
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization20
MjSO: A modified differential evolution with a probability selection mechanism and a directed mutation strategy20
IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization 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 algorithm20
A Dynamic Multi-objective Optimization approach for computing resource allocation in industrial model repository20
Offline evolutionary optimization with problem-driven model pool design and weighted model selection indicator20
A dynamic multi-objective optimization evolutionary algorithm based on classification of decision variables and inter-layer collaborative prediction20
A Tree neural network deep reinforcement learning for flexible job shop scheduling with transportation constraints20
An improved arithmetic optimization algorithm based on reinforcement learning for global optimization and engineering design problems20
A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones19
Multi-guiding spark fireworks algorithm: Solving multimodal functions by multiple guiding sparks in fireworks algorithm19
A hyper-curvature balanced indicator and adaptive phase exploration co-driven evolutionary algorithm for many-objective optimization19
Enhanced auxiliary population search for diversity improvement of constrained multiobjective coevolutionary optimization19
Strengthened grey wolf optimization algorithms for numerical optimization tasks and AutoML19
Harmony search algorithm and related variants: A systematic review19
A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts19
Implementing automated task scheduling framework for fog network using adaptive actor critic deep reinforcement learning with sparse attention through multi-objective constraints19
Meta-heuristic Techniques in Microgrid Management: A Survey19
Adversarial autoencoder enhanced evolutionary guidance for multi-objective multi-task optimization19
Decomposition-based evolutionary algorithm with dual adjustments for many-objective optimization problems19
A novel framework for generating tunable and scalable benchmark problems for multimodal multiobjective optimization18
Knowledge-driven large-scale multi-objective evolutionary learning for interval prediction of key quality indicators in blast furnace ironmaking process18
Multi-AGV collision-free scheduling framework with task allocation in high-density warehouses18
Reinforcement learning-assisted particle swarm algorithm for effluent scheduling problem with an influent estimation of WWTP18
0.18440198898315