Swarm and Evolutionary Computation

Article	Citations
Editorial Board	176
A coevolutionary algorithm for constrained multi-objective optimization with dynamic relaxation	149
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization	127
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment	124
Choice of benchmark optimization problems does matter	117
Differential evolution with evolutionary scale adaptation	117
A two-stage adaptive variable neighborhood search approach for electric vehicle routing problem with fuzzy demand	113
Secure key based cloud security utilizing three-way protection with martino homomorphic encryption for preventing unauthorized data access	107
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	106
Multifactorial differential evolution enhanced by adaptive Gaussian-mixture-model-based knowledge transfer	106
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time	100
A knee-guided prediction model oriented to population composition structures for dynamic multi-objective evolutionary optimization	91
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis	88
A global feedback learning-based memetic algorithm for energy-aware scheduling in collaborative heterogeneous flexible job shops	88
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing	86
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm	81
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications	80
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms	78
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	77
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction	77
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation	76
An optimized watermarking scheme based on genetic algorithm and elliptic curve	74
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning	73
A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems	71
Random projection enhancement: A Novel method for improving performance of surrogate models	70

A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints	70
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning	68
Large language models as surrogate models in evolutionary algorithms: A preliminary study	67
Redefined decision variable analysis method for large-scale optimization and its application to feature selection	65
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection	63
Dual-individual genetic algorithm: A dual-individual approach for efficient training of multi-layer neural networks	63
Population-level center-based sampling for meta-heuristic algorithms	60
Conditional diffusion with gradient guidance for high-dimensional expensive multi-objective optimization	60
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming	60
Exploring high-dimensional optimization by sparse and low-rank evolution strategy	59
On the representativeness metric of benchmark problems in numerical optimization	58
A Generational Difference Vector based Tri-Entropy Structure Optimizer for large-scale multiobjective optimization	58
GTG-ACO: Graph Transformer Guided Ant Colony Optimization for learning heuristics and pheromone dynamics for combinatorial optimization	57
A manifold prediction strategy for evolutionary dynamic multiobjective optimization	57
Pareto multi-objective optimization for high locality-preserving space-filling curve identification	56
Optimizing multi-period multi-mode multi-time window home health care scheduling with an improved tabu search algorithm	55
Dynamic multi-objective optimization algorithm based on incremental Gaussian mixture model	55
Auxiliary optimization framework based on scaling transformation matrix for large-scale multi-objective problem	55
Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm	55
Welcome from Editor-in-Chief of Swarm and Evolutionary Computation	54
KDDCP: Kernel density driven cumulative probability-cooperated framework for constrained muti-objective optimization	54
A decimal artificial bee colony with elite strategy for the cutting stock problem with irregular items	54
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics	53
A many-objective evolutionary algorithm based on constraints for collaborative computation offloading	53
A metaheuristic approach for mining gradual patterns	51
On the elusivity of dynamic optimisation problems	50
A knee-oriented many-objective differential evolution with bi-strategy and Manhattan distance-domination range	49
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems	49
Dual-self-learning knowledge-based local search approach for lot-streaming flexible job shop scheduling with asynchronous assembly	49
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems	48
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times	47
Differential evolution with bi-strategy co-deployment framework and diversity improvement	47
Benchmark problems for large-scale constrained multi-objective optimization with baseline results	47
A hybrid estimation of distribution algorithm for agile earth observing satellite task scheduling problem	47
Integrating evacuation and relief redistribution into last-mile relief network design: A two-stage distributionally robust optimization approach	46
Swarm intelligence applications for emergency evacuation planning: state of the art, recent developments, and future research opportunities	46
Multi-objective evolutionary algorithms for solving a green multi-item fixed-charge 5D transportation problem under intuitionistic fuzzy uncertainty	46
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization	46
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection	45
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks	45
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times	45
Solving electric vehicle–drone routing problem using memetic algorithm	45
A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts	45
A hybrid surrogate-assisted evolutionary algorithm for technician routing and scheduling problems	44
QACO: An adaptive multi-phase ant colony optimization approach for robust feature selection	44
A multi-objective hierarchical aggregation optimization algorithm for dynamic network structures in federated learning	44
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm	43
Graph embedding based ant colony optimization for negative influence propagation suppression under cost constraints	43
IMNE: Maximizing influence through deep learning-based node embedding in social network	43
Decomposition-based dual-population evolutionary algorithm for constrained multi-objective problem	43

Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure	43
A bi-objective routing problem for cooperated trucks and drones in river water quality monitoring	42
Surrogate-assisted differential evolution: A survey	42
Greedy randomized adaptive search and benders decomposition algorithms to solve the distributed no-idle permutation flowshop scheduling problem	42
A coevolutionary algorithm assisted by two archives for constrained multi-objective optimization problems	41
Property of decision variables-inspired location strategy for multiobjective optimization	41
Historical knowledge transfer driven self-adaptive evolutionary multitasking algorithm with hybrid resource release for solving nonlinear equation systems	41
Intelligent pest trap monitoring under uncertainty in food industry	41
Optimum settings for discrete PID control of nonlinear systems	41
Multi-objective optimization algorithm for multi-workflow computation offloading in resource-limited IIoT	40
Evolutionary algorithm based on multi-probability distribution model for stochastic optimization	40
Bankruptcy-evolutionary games based solution for the multi-agent credit assignment problem	40
Evolutionary multistage multitasking method for feature selection in imbalanced data	39
A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification	39
Learning-infused optimization for evolutionary computation	39
A many-objective optimization evolutionary algorithm based on hyper-dominance degree	39
Incremental learning-enhanced ensemble surrogate-assisted evolutionary algorithm for lifelong berth allocation and quay crane assignment problems	38
Expected coordinate improvement for high-dimensional Bayesian optimization	38
A high-dimensional feature selection algorithm via fast dimensionality reduction and multi-objective differential evolution	38
Adaptive knowledge transfer-based particle swarm optimization for constrained multitask optimization	38
Multitask particle swarm optimization algorithm leveraging variable chunking and local meta-knowledge transfer	38
A data-driven model assisted hybrid genetic algorithm for a two-dimensional shelf space allocation problem	37
A novel hybrid particle swarm optimization with marine predators	37
MFWOA: Multifactorial Whale Optimization Algorithm	36
Balancing exploration and exploitation in dynamic constrained multimodal multi-objective co-evolutionary algorithm	36
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network	36
A knowledge transfer-based membrane evolutionary algorithm for solving large-scale sorted waste collection problem with timeliness	35
An optimized multi-source feature extraction model with black-winged kite algorithm for hourly seamless PM2.5 estimation	34
An effective auxiliary task for volumetric modulated arc therapy planning	34
Cluster and reinforcement learning-based multi-objective evolutionary algorithm for joint scheduling of virtual machines and prioritize tasks in cloud computing	34
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs	34
APSM-jSO: A novel jSO variant with an adaptive parameter selection mechanism and a new external archive updating mechanism	33
Provable space discretization based evolutionary search for scalable multi-objective security games	33
A multi-objective benchmark for UAV path planning with baseline results	33
A Multi-population genetic programming algorithm to model estimation for LLC resonant converter	32
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms	32
Surrogate-Assisted Differential Evolution Light Gradient Boosting Machine for Mangrove Aboveground Biomass inversion	31
SFG-DE: An explainable and evolvable differential evolution for learning to generate operator structures	31
Two-stage bidirectional coevolutionary algorithm for constrained multi-objective optimization	31
A self-adjusting representation-based multitask PSO for high-dimensional feature selection	30
An enhanced sparrow search swarm optimizer via multi-strategies for high-dimensional optimization problems	30
Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization	30
Multi-strategy particle swarm optimization with adaptive forgetting for base station layout	30
Reinforcement learning-integrated evolutionary algorithm for enhanced unmanned aerial vehicle coverage path planning	30
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study	30
A guided genetic programming with attribute node activation encoding for resource constrained project scheduling problem	29
A large-scale multi-objective optimization framework based on a dual-space attention mechanism	29
The IGD-based prediction strategy for dynamic multi-objective optimization	28
Handling objective preference and variable uncertainty in evolutionary multi-objective optimization	28
An improved genetic algorithm and clone selection optimization-based gated recurrent unit networks for earthquake magnitude prediction	28
A subspace strategy based coevolutionary framework for constrained multimodal multiobjective optimization problems	28
A two-stage cross-neighborhood search algorithm bridging different solution representation spaces for solving the hybrid flow shop scheduling problem	28
A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering	28
DA2MODE: Dynamic Archive with Adaptive Multi-Operator Differential Evolution for numerical optimization	28
An adaptive weight optimization algorithm based on decision variable grouping for large-scale multi-objective optimization problems	28
Advancing aerial robotics: a multi-strategy optimization framework for intelligent Hexarotor control	28
A constrained multi-objective optimization algorithm with adaptive dual-stage search strategy utilizing the relationship between different Pareto fronts	28
Parallel fractional dominance MOEAs for feature subset selection in big data	28
A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery	27
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization	27
Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment	27
A novel disjunctive-graph-based meta-heuristic approach for multi-objective resource-constrained project scheduling problem with multi-skilled staff	27
A constrained multi-objective evolutionary algorithm based on online problem identification and separate handling	27
Multi-task differential evolution algorithm with dynamic resource allocation: A study on e-waste recycling vehicle routing problem	27
A matheuristic-based self-learning evolutionary algorithm for lot streaming hybrid flow shop group scheduling with limited auxiliary modules	27
A multiple direction search algorithm for continuous optimization	27
Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification	27
Blocking flowshop scheduling problems with release dates	26
Partition-informed Ant Colony Optimization for min–max multiple TSP	26
An adaptive interval many-objective evolutionary algorithm with information entropy dominance	26
An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization	26
A collaborative evolution strategy for dynamic multi-objective optimization based on charged individual prediction	26
Convolutional neural network combined with reinforcement learning-based dual-mode grey wolf optimizer to identify crop diseases and pests	26
A steady-state weight adaptation method for decomposition-based evolutionary multi-objective optimisation	26
Decomposition-based multi-objective evolutionary algorithm for bi-optimal selection	26
Differential evolution with a variance contribution ratio-based diversity enhancement mechanism for numerical optimization	26
A decision variable type mining-based two-stage evolutionary algorithm for sparse large-scale bi-objective optimization	26
An intelligent automated guided vehicle scheduling framework for manufacturing: Balancing energy, efficiency, and task completion	25
Deep and wide search assisted evolutionary algorithm with reference vector guidance for many-objective optimization	25
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities	25

Constrained multi-objective evolutionary algorithm based on the correlation between objectives and constraints	25
Memetic algorithm based on learning and decomposition for multiobjective flexible job shop scheduling considering human factors	25
Regularity-based evolutionary multi-objective optimization review	25
Distributed assembly flexible job shop scheduling with dual-resource constraints via a deep Q-network based memetic algorithm	25
Multimodal multi-objective optimization: Comparative study of the state-of-the-art	25
Enhancement of collaborative communication using optimized dynamic density graph convolutional networks in IoT-enabled intelligent surfaces	24
A congestion-based local search for transmission expansion planning problems	24
Efficient three-stage surrogate-assisted differential evolution for expensive optimization problems	24
Exploratory landscape analysis on black-box optimization problems via Graph Neural Network	24
A neighborhood comprehensive learning particle swarm optimization for the vehicle routing problem with time windows	24
GMO: A general multimodal optimization framework applicable to various global metaheuristic algorithms	24
BDE-Jaya: A binary discrete enhanced Jaya algorithm for multiple automated guided vehicle scheduling problem in matrix manufacturing workshop	24
A novel penalty function-based interval constrained multi-objective optimization algorithm for uncertain problems	24
A novel plug-and-play meta-black-box optimization module based on video streams for non-contact physiological signal extraction	24
Fast thresholded concordance probability for evolutionary optimization	24
Angle information enhanced kriging-assisted adaptive evolutionary algorithm for computationally highly expensive high-dimensional problems	24
A comprehensive investigation on novel center-based sampling for large-scale global optimization	24
An enhanced adaptive differential evolution algorithm with dual performance evaluation metrics for numerical optimization	23
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems	23
Collaborative scheduling of production resources and spare parts inventory for distributed equipment with feedback guidance and minimum capacity loss	23
Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization	23
A distribution evolutionary algorithm for the graph coloring problem	23
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer’s Disease prediction through handwriting analysis	23
Hierarchical structure-based joint operations algorithm for global optimization	23
Evaluation-based multi-objective optimization for responsive-resilient supply chain network under hybrid uncertainty	23
A dynamic task-assisted constrained multimodal multi-objective optimization algorithm based on reinforcement learning	23
Teaching–learning based optimization of a multi-server machining model with emergency vacation and retention of reneged machines	23
Mde-EvoNAS: Automatic network architecture design for monocular depth estimation via evolutionary neural architecture search	23
Two-level parameter cooperation-based population regeneration framework for differential evolution	23
A knowledge transfer-based strategy for constrained multiobjective optimization	23
PS-Tree: A piecewise symbolic regression tree	22
A collaboration-based multi-objective algorithm for distributed hybrid flowshop scheduling with resource constraints	22
Synthetic pertinence clustering and reinforced evolutionary algorithm for the hybrid E-commerce green location routing problem	22
Multiform optimization with coupled subspace alignment and two-stage adaptive differential evolution for interval constrained scheduling of coal mine integrated energy systems	22
Metaheuristics should be tested on large benchmark set with various numbers of function evaluations	22
A hybrid evolutionary algorithm for 2D variable-sized bin packing with guillotine constraint in manufacturing	22
GDG: An evolutionary oversampling framework integrating Gaussian mixture modeling and genetic algorithm	22
A Q-Learning based NSGA-II for dynamic flexible job shop scheduling	22
Helper objective-based multifactorial evolutionary algorithm for continuous optimization	22
A reinforcement learning-based artificial bee colony algorithm for resolving the UAV logistics path planning problem in a 3D space	22
Manifold clustering-based prediction for dynamic multiobjective optimization	22
State-space adaptive exploration for explainable particle swarm optimization	22
Knowledge-assisted evolutionary task scheduling for hierarchical multiagent systems with transferable surrogates	22
A Dynamic Multi-objective Optimization approach for computing resource allocation in industrial model repository	21
A neighborhood-based momentum approach to accelerate convergence in multi-objective optimization	21
A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem	21
Multi-guiding spark fireworks algorithm: Solving multimodal functions by multiple guiding sparks in fireworks algorithm	21
A cluster-based genetic optimization method for satellite range scheduling system	21
A dynamic multi-objective optimization evolutionary algorithm based on classification of decision variables and inter-layer collaborative prediction	21
IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization algorithm	21
An improved adaptive hybrid algorithm for solving distributed flexible job shop scheduling problem	21
Particle swarm optimization based on K-means clustering and adaptive dual-groups strategy	21
Editorial Board	20
A Tree neural network deep reinforcement learning for flexible job shop scheduling with transportation constraints	20
An analysis of SAT constrained MNK-landscapes as benchmark problems for multi-objective evolutionary algorithms	20
Strengthened grey wolf optimization algorithms for numerical optimization tasks and AutoML	20
A classification-assisted environmental selection strategy for multiobjective optimization	20
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization	20
Editorial Board	20
Enhanced auxiliary population search for diversity improvement of constrained multiobjective coevolutionary optimization	20
Offline evolutionary optimization with problem-driven model pool design and weighted model selection indicator	20
A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction	20
Transformer-accelerated multi-objective high-dimensional multi-fractional-order optimization algorithm for proportional-integral controller parameters tuning of doubly-fed induction generators	20
A problem knowledge driven bi-population cooperative framework for time-varying ratio error estimation of voltage transformers	20
Dynamic strategy-based hybrid genetic algorithm for solving multi-task decision-making problems for heterogeneous surface vessels	20
Proximity ranking-based multimodal differential evolution	20
An improved arithmetic optimization algorithm based on reinforcement learning for global optimization and engineering design problems	20
Balancing cost and influential ability under structural failures via a multi-objective approach	20
From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013–2023)	19
MjSO: A modified differential evolution with a probability selection mechanism and a directed mutation strategy	19
A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones	19
Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments	19
Deep reinforcement learning based bi-level optimization for order acceptance and scheduling: A slow-moving inventory activation policy for resilient manufacturing	19
DJAYA-RL: Discrete JAYA algorithm integrating reinforcement learning for the discounted {0-1} knapsack problem	19
A supervised parallel optimisation framework for metaheuristic algorithms	19
Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm	19
Thermal parameter identification of concrete dams based on hybrid particle swarm optimization using distributed optical fiber monitoring data	19
Evolutionary multimodal multiobjective optimization guided by growing neural gas	19
Meta-heuristic Techniques in Microgrid Management: A Survey	19
HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information	19
A hyper-curvature balanced indicator and adaptive phase exploration co-driven evolutionary algorithm for many-objective optimization	18
A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts	18
Methodology for optimizing electrical grounding grids in stratified soils using advanced calculation techniques and evolutionary algorithms	18
Non-equidistant grey prediction evolution algorithm: A mathematical model-based meta-heuristic technique	18
Improved crayfish optimization algorithm based on multimodal collaborative search and dynamic distribution perturbation for estimating State-of-Health of lithium-ion batteries	18
A novel framework for generating tunable and scalable benchmark problems for multimodal multiobjective optimization	18
Q-learning assisted multi-objective evolutionary optimization for low-carbon scheduling of open-pit mine trucks	18
Decomposition-based evolutionary algorithm with dual adjustments for many-objective optimization problems	18
Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time	18
Dynamic flexible job shop scheduling algorithm for multi-task collaborative optimization	18
Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization	18
Differential Evolution with perturbation mechanism and covariance matrix based stagnation indicator for numerical optimization	18
Similarity-driven knowledge transfer algorithm for many-task capacitated vehicle routing problem	18
A particle swarm optimization-based deep clustering algorithm for power load curve analysis	18
Efficient preference learning algorithm for interactive evolutionary multi-objective optimization	18