Swarm and Evolutionary Computation

Article	Citations
Editorial Board	189
Corrigendum to “Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm” [Swarm and Evolutionary Computation Vol	169
A knee-guided prediction model oriented to population composition structures for dynamic multi-objective evolutionary optimization	131
Redefined decision variable analysis method for large-scale optimization and its application to feature selection	131
A global feedback learning-based memetic algorithm for energy-aware scheduling in collaborative heterogeneous flexible job shops	129
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time	124
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming	117
Dual-individual genetic algorithm: A dual-individual approach for efficient training of multi-layer neural networks	115
Secure key based cloud security utilizing three-way protection with martino homomorphic encryption for preventing unauthorized data access	112
An optimized watermarking scheme based on genetic algorithm and elliptic curve	102
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning	101
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment	100
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection	92
Random projection enhancement: A Novel method for improving performance of surrogate models	88
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis	88
Multifactorial differential evolution enhanced by adaptive Gaussian-mixture-model-based knowledge transfer	83
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm	83
A coevolutionary algorithm for constrained multi-objective optimization with dynamic relaxation	82
Conditional diffusion with gradient guidance for high-dimensional expensive multi-objective optimization	81
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	78
Differential evolution with evolutionary scale adaptation	78
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications	78
A population partition and prediction strategy-based evolutionary algorithm for dynamic multi-objective optimization	78
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning	76
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing	75

Choice of benchmark optimization problems does matter	71
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction	71
A two-stage adaptive variable neighborhood search approach for electric vehicle routing problem with fuzzy demand	70
A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems	69
A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints	68
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation	67
A Heuristic-Guided Genetic Algorithm for heterogeneous agricultural machinery scheduling with time windows	66
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization	65
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms	63
A Generational Difference Vector based Tri-Entropy Structure Optimizer for large-scale multiobjective optimization	62
Large language models as surrogate models in evolutionary algorithms: A preliminary study	62
Pareto multi-objective optimization for high locality-preserving space-filling curve identification	62
Swarm intelligence applications for emergency evacuation planning: state of the art, recent developments, and future research opportunities	61
Multi-objective evolutionary algorithms for solving a green multi-item fixed-charge 5D transportation problem under intuitionistic fuzzy uncertainty	60
Differential evolution with bi-strategy co-deployment framework and diversity improvement	59
Auxiliary optimization framework based on scaling transformation matrix for large-scale multi-objective problem	58
Welcome from Editor-in-Chief of Swarm and Evolutionary Computation	58
A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts	57
On the elusivity of dynamic optimisation problems	57
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection	57
A hybrid estimation of distribution algorithm for agile earth observing satellite task scheduling problem	57
Decomposition-based dual-population evolutionary algorithm for constrained multi-objective problem	56
A decimal artificial bee colony with elite strategy for the cutting stock problem with irregular items	56
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm	56
Dual-self-learning knowledge-based local search approach for lot-streaming flexible job shop scheduling with asynchronous assembly	55
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times	55
Exploring high-dimensional optimization by sparse and low-rank evolution strategy	54
KDDCP: Kernel density driven cumulative probability-cooperated framework for constrained muti-objective optimization	54
QACO: An adaptive multi-phase ant colony optimization approach for robust feature selection	53
On the representativeness metric of benchmark problems in numerical optimization	53
A bi-objective routing problem for cooperated trucks and drones in river water quality monitoring	53
A hybrid surrogate-assisted evolutionary algorithm for technician routing and scheduling problems	52
A knee-oriented many-objective differential evolution with bi-strategy and Manhattan distance-domination range	52
Benchmark problems for large-scale constrained multi-objective optimization with baseline results	52
Greedy randomized adaptive search and benders decomposition algorithms to solve the distributed no-idle permutation flowshop scheduling problem	51
A manifold prediction strategy for evolutionary dynamic multiobjective optimization	51
GTG-ACO: Graph Transformer Guided Ant Colony Optimization for learning heuristics and pheromone dynamics for combinatorial optimization	50
An intelligent hybrid model using GatedTriBERT and DE-ARL for accurate translation quality assessment	50
A metaheuristic approach for mining gradual patterns	49
Optimizing multi-period multi-mode multi-time window home health care scheduling with an improved tabu search algorithm	49
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization	49
Population-level center-based sampling for meta-heuristic algorithms	49
A many-objective evolutionary algorithm based on constraints for collaborative computation offloading	48
Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm	48
IMNE: Maximizing influence through deep learning-based node embedding in social network	48
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems	48
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure	47
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems	47
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics	47
Solving electric vehicle–drone routing problem using memetic algorithm	46

Integrating evacuation and relief redistribution into last-mile relief network design: A two-stage distributionally robust optimization approach	46
A multi-objective hierarchical aggregation optimization algorithm for dynamic network structures in federated learning	46
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks	45
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times	45
Dynamic multi-objective optimization algorithm based on incremental Gaussian mixture model	45
Surrogate-assisted differential evolution: A survey	45
A high-dimensional feature selection algorithm via fast dimensionality reduction and multi-objective differential evolution	43
APSM-jSO: A novel jSO variant with an adaptive parameter selection mechanism and a new external archive updating mechanism	43
A novel hybrid particle swarm optimization with marine predators	43
Learning-infused optimization for evolutionary computation	43
Advanced Self-Adaptive Distributed Differential Evolution with Hierarchical Learning algorithm for multimodal optimization in communication system	42
A multi-objective benchmark for UAV path planning with baseline results	42
Reinforcement learning-enhanced evolutionary algorithm for multi-objective optimal control of a laboratory helicopter	42
Multi-objective optimization algorithm for multi-workflow computation offloading in resource-limited IIoT	42
Cluster and reinforcement learning-based multi-objective evolutionary algorithm for joint scheduling of virtual machines and prioritize tasks in cloud computing	41
Evolutionary algorithm based on multi-probability distribution model for stochastic optimization	40
Adaptive knowledge transfer-based particle swarm optimization for constrained multitask optimization	39
Intelligent pest trap monitoring under uncertainty in food industry	39
Multitask particle swarm optimization algorithm leveraging variable chunking and local meta-knowledge transfer	39
A knowledge transfer-based membrane evolutionary algorithm for solving large-scale sorted waste collection problem with timeliness	39
An effective auxiliary task for volumetric modulated arc therapy planning	38
A coevolutionary algorithm assisted by two archives for constrained multi-objective optimization problems	38
A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification	38
Bankruptcy-evolutionary games based solution for the multi-agent credit assignment problem	38
Historical knowledge transfer driven self-adaptive evolutionary multitasking algorithm with hybrid resource release for solving nonlinear equation systems	37
Optimum settings for discrete PID control of nonlinear systems	37
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network	37
Property of decision variables-inspired location strategy for multiobjective optimization	37
A data-driven model assisted hybrid genetic algorithm for a two-dimensional shelf space allocation problem	36
DRL-AEOSF: A deep reinforcement learning-assisted evolutionary operator selection framework for constrained optimization problems	36
An optimized multi-source feature extraction model with black-winged kite algorithm for hourly seamless PM2.5 estimation	36
Evolutionary multistage multitasking method for feature selection in imbalanced data	35
MFWOA: Multifactorial Whale Optimization Algorithm	35
Incremental learning-enhanced ensemble surrogate-assisted evolutionary algorithm for lifelong berth allocation and quay crane assignment problems	35
Expected coordinate improvement for high-dimensional Bayesian optimization	35
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs	35
Distance-aware cooperative Kriging-assisted evolutionary algorithm for expensive many-objective optimization	35
A many-objective optimization evolutionary algorithm based on hyper-dominance degree	35
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms	34
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study	34
Balancing exploration and exploitation in dynamic constrained multimodal multi-objective co-evolutionary algorithm	34
Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization	34
A Multi-population genetic programming algorithm to model estimation for LLC resonant converter	34
A subspace strategy based coevolutionary framework for constrained multimodal multiobjective optimization problems	33
A large-scale multi-objective optimization framework based on a dual-space attention mechanism	33
A guided genetic programming with attribute node activation encoding for resource constrained project scheduling problem	33
Reinforcement learning-integrated evolutionary algorithm for enhanced unmanned aerial vehicle coverage path planning	32
Handling objective preference and variable uncertainty in evolutionary multi-objective optimization	32
A non-fixed-length ensemble genetic programming for stochastic resource constrained project scheduling problem	32
Two-stage bidirectional coevolutionary algorithm for constrained multi-objective optimization	32
SFG-DE: An explainable and evolvable differential evolution for learning to generate operator structures	32
A two-stage cross-neighborhood search algorithm bridging different solution representation spaces for solving the hybrid flow shop scheduling problem	31
An enhanced sparrow search swarm optimizer via multi-strategies for high-dimensional optimization problems	31
Decomposition-based co-evolutionary algorithm for integrated nesting and scheduling in additive manufacturing workshop considering multi-stage post-processing	31
A self-adjusting representation-based multitask PSO for high-dimensional feature selection	31
Surrogate-Assisted Differential Evolution Light Gradient Boosting Machine for Mangrove Aboveground Biomass inversion	31
An adaptive weight optimization algorithm based on decision variable grouping for large-scale multi-objective optimization problems	31
Advancing aerial robotics: a multi-strategy optimization framework for intelligent Hexarotor control	31
Multi-strategy particle swarm optimization with adaptive forgetting for base station layout	31
Provable space discretization based evolutionary search for scalable multi-objective security games	30
An improved genetic algorithm and clone selection optimization-based gated recurrent unit networks for earthquake magnitude prediction	30
Parallel fractional dominance MOEAs for feature subset selection in big data	30
The IGD-based prediction strategy for dynamic multi-objective optimization	30
A collaborative evolution strategy for dynamic multi-objective optimization based on charged individual prediction	30
DA2MODE: Dynamic Archive with Adaptive Multi-Operator Differential Evolution for numerical optimization	29
A matheuristic-based self-learning evolutionary algorithm for lot streaming hybrid flow shop group scheduling with limited auxiliary modules	29
A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery	29
A novel disjunctive-graph-based meta-heuristic approach for multi-objective resource-constrained project scheduling problem with multi-skilled staff	29
Constrained multi-objective evolutionary algorithm based on the correlation between objectives and constraints	29
Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification	28
Enhancement of collaborative communication using optimized dynamic density graph convolutional networks in IoT-enabled intelligent surfaces	28
A congestion-based local search for transmission expansion planning problems	28
An intelligent automated guided vehicle scheduling framework for manufacturing: Balancing energy, efficiency, and task completion	28
An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization	28
Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment	28
Blocking flowshop scheduling problems with release dates	28
A novel plug-and-play meta-black-box optimization module based on video streams for non-contact physiological signal extraction	28
An adaptive interval many-objective evolutionary algorithm with information entropy dominance	28
A constrained multi-objective evolutionary algorithm based on online problem identification and separate handling	28
Regularity-based evolutionary multi-objective optimization review	27

Deep and wide search assisted evolutionary algorithm with reference vector guidance for many-objective optimization	27
A multiple direction search algorithm for continuous optimization	27
Dual-path information bottleneck-enhanced heterogeneous graph attention networks for dynamic flexible job-shop scheduling problem	27
Multi-task differential evolution algorithm with dynamic resource allocation: A study on e-waste recycling vehicle routing problem	27
Decomposition-based multi-objective evolutionary algorithm for bi-optimal selection	27
A decision variable type mining-based two-stage evolutionary algorithm for sparse large-scale bi-objective optimization	27
A constrained multi-objective optimization algorithm with adaptive dual-stage search strategy utilizing the relationship between different Pareto fronts	27
Reinforcement learning-assisted evolutionary auxiliary optimization for multi-workflow scheduling in clouds	27
Hybrid evolutionary framework with multiple fragmentation strategies and reinforcement learning for multi-objective molecule generation	27
A neighborhood comprehensive learning particle swarm optimization for the vehicle routing problem with time windows	27
Differential evolution with a variance contribution ratio-based diversity enhancement mechanism for numerical optimization	26
Feasibility-guaranteed multi-objective evolutionary path planning with knowledge-based local guidance	26
A distribution evolutionary algorithm for the graph coloring problem	26
Fast thresholded concordance probability for evolutionary optimization	26
Convolutional neural network combined with reinforcement learning-based dual-mode grey wolf optimizer to identify crop diseases and pests	26
Partition-informed Ant Colony Optimization for min–max multiple TSP	26
A hybrid evolutionary algorithm for 2D variable-sized bin packing with guillotine constraint in manufacturing	26
GDG: An evolutionary oversampling framework integrating Gaussian mixture modeling and genetic algorithm	26
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities	26
Memetic algorithm based on learning and decomposition for multiobjective flexible job shop scheduling considering human factors	26
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization	26
Multimodal multi-objective optimization: Comparative study of the state-of-the-art	26
Multiform optimization with coupled subspace alignment and two-stage adaptive differential evolution for interval constrained scheduling of coal mine integrated energy systems	26
A steady-state weight adaptation method for decomposition-based evolutionary multi-objective optimisation	26
Distributed assembly flexible job shop scheduling with dual-resource constraints via a deep Q-network based memetic algorithm	26
Teaching–learning based optimization of a multi-server machining model with emergency vacation and retention of reneged machines	25
Helper objective-based multifactorial evolutionary algorithm for continuous optimization	25
A comprehensive investigation on novel center-based sampling for large-scale global optimization	25
A knowledge transfer-based strategy for constrained multiobjective optimization	25
Evaluation-based multi-objective optimization for responsive-resilient supply chain network under hybrid uncertainty	25
Collaborative scheduling of production resources and spare parts inventory for distributed equipment with feedback guidance and minimum capacity loss	25
Mde-EvoNAS: Automatic network architecture design for monocular depth estimation via evolutionary neural architecture search	25
Hierarchical structure-based joint operations algorithm for global optimization	25
BDE-Jaya: A binary discrete enhanced Jaya algorithm for multiple automated guided vehicle scheduling problem in matrix manufacturing workshop	24
Two-level parameter cooperation-based population regeneration framework for differential evolution	24
Efficient three-stage surrogate-assisted differential evolution for expensive optimization problems	24
A neighborhood-based momentum approach to accelerate convergence in multi-objective optimization	24
A Q-Learning based NSGA-II for dynamic flexible job shop scheduling	24
A collaboration-based multi-objective algorithm for distributed hybrid flowshop scheduling with resource constraints	24
A reinforcement learning-based artificial bee colony algorithm for resolving the UAV logistics path planning problem in a 3D space	24
An enhanced adaptive differential evolution algorithm with dual performance evaluation metrics for numerical optimization	24
Parameter control in genetic algorithm optimization: A hybrid selection operator	24
A cluster-based genetic optimization method for satellite range scheduling system	24
Multi-stage fuzzy Bayesian cooperative optimization for expensive large-scale problems	24
Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization	24
Manifold clustering-based prediction for dynamic multiobjective optimization	23
Angle information enhanced kriging-assisted adaptive evolutionary algorithm for computationally highly expensive high-dimensional problems	23
Exploratory landscape analysis on black-box optimization problems via Graph Neural Network	23
GMO: A general multimodal optimization framework applicable to various global metaheuristic algorithms	23
State-space adaptive exploration for explainable particle swarm optimization	23
A dynamic task-assisted constrained multimodal multi-objective optimization algorithm based on reinforcement learning	23
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems	23
A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem	23
Particle swarm optimization based on K-means clustering and adaptive dual-groups strategy	23
Synthetic pertinence clustering and reinforced evolutionary algorithm for the hybrid E-commerce green location routing problem	23
Knowledge-assisted evolutionary task scheduling for hierarchical multiagent systems with transferable surrogates	23
An improved adaptive hybrid algorithm for solving distributed flexible job shop scheduling problem	23
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer’s Disease prediction through handwriting analysis	23
Metaheuristics should be tested on large benchmark set with various numbers of function evaluations	23
Editorial Board	22
A supervised parallel optimisation framework for metaheuristic algorithms	22
Dynamic strategy-based hybrid genetic algorithm for solving multi-task decision-making problems for heterogeneous surface vessels	22
Editorial Board	22
IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization algorithm	22
An analysis of SAT constrained MNK-landscapes as benchmark problems for multi-objective evolutionary algorithms	22
A novel penalty function-based interval constrained multi-objective optimization algorithm for uncertain problems	22
An improved arithmetic optimization algorithm based on reinforcement learning for global optimization and engineering design problems	22
A problem knowledge driven bi-population cooperative framework for time-varying ratio error estimation of voltage transformers	21
Balancing cost and influential ability under structural failures via a multi-objective approach	21
Offline evolutionary optimization with problem-driven model pool design and weighted model selection indicator	21
Multi-guiding spark fireworks algorithm: Solving multimodal functions by multiple guiding sparks in fireworks algorithm	21
Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm	21
Meta-heuristic Techniques in Microgrid Management: A Survey	21
A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction	21
DJAYA-RL: Discrete JAYA algorithm integrating reinforcement learning for the discounted {0-1} knapsack problem	21
Enhanced auxiliary population search for diversity improvement of constrained multiobjective coevolutionary optimization	21
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization	21
A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones	20
Deep reinforcement learning based bi-level optimization for order acceptance and scheduling: A slow-moving inventory activation policy for resilient manufacturing	20
Harmony search algorithm and related variants: A systematic review	20
From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013–2023)	20
A Dynamic Multi-objective Optimization approach for computing resource allocation in industrial model repository	20
A dynamic multi-objective optimization evolutionary algorithm based on classification of decision variables and inter-layer collaborative prediction	20
Thermal parameter identification of concrete dams based on hybrid particle swarm optimization using distributed optical fiber monitoring data	20
Strengthened grey wolf optimization algorithms for numerical optimization tasks and AutoML	20
Implementing automated task scheduling framework for fog network using adaptive actor critic deep reinforcement learning with sparse attention through multi-objective constraints	20
Proximity ranking-based multimodal differential evolution	19
Multi-AGV collision-free scheduling framework with task allocation in high-density warehouses	19
Swarm flocking using optimisation for a self-organised collective motion	19
Evolutionary multimodal multiobjective optimization guided by growing neural gas	19
Genetic algorithm-based robust graph convolutional network design leveraging node splitting and fusion	19
Synergistic Particle Swarm Optimized Bio-inspired Artificial Neural Network for Fractional Analysis of tumor-immune competitive system with multiple time delays	19
HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information	19
Knowledge-driven large-scale multi-objective evolutionary learning for interval prediction of key quality indicators in blast furnace ironmaking process	19
An effective combination of mechanisms for particle swarm optimization-based ensemble strategy	19