Swarm and Evolutionary Computation

Article	Citations
Editorial Board	321
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection	253
Random projection enhancement: A Novel method for improving performance of surrogate models	180
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm	167
Differential evolution with evolutionary scale adaptation	127
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	122
An optimized watermarking scheme based on genetic algorithm and elliptic curve	117
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing	116
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction	101
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization	100
Large language models as surrogate models in evolutionary algorithms: A preliminary study	90
Choice of benchmark optimization problems does matter	89
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment	86
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming	85
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time	83
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning	82
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach	71
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization	68
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation	68
Redefined decision variable analysis method for large-scale optimization and its application to feature selection	66
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems	64
A partition-based constrained multi-objective evolutionary algorithm	62
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	61
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications	61
Population-level center-based sampling for meta-heuristic algorithms	52

A knee-oriented many-objective differential evolution with bi-strategy and Manhattan distance-domination range	52
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms	52
Graph embedding based ant colony optimization for negative influence propagation suppression under cost constraints	49
Pareto multi-objective optimization for high locality-preserving space-filling curve identification	49
IMNE: Maximizing influence through deep learning-based node embedding in social network	49
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure	48
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks	47
Surrogate-assisted differential evolution: A survey	47
On the elusivity of dynamic optimisation problems	46
Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm	45
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm	45
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems	45
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times	45
On the representativeness metric of benchmark problems in numerical optimization	44
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection	44
Two novel population based algorithms for the single machine scheduling problem with sequence dependent setup times and release times	44
COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems	43
A hybrid optimization algorithm for structural balance model based on influence between nodes and community quality	43
A metaheuristic approach for mining gradual patterns	42
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics	42
Editorial Board	42
Exploring high-dimensional optimization by sparse and low-rank evolution strategy	41
Withdrawal notice to: WITHDRAWN: ‘Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application’ [Swarm and Evolutionary Computation 63 (2021) 1–40/100868]	40
A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts	39
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times	39
Welcome from Editor-in-Chief of Swarm and Evolutionary Computation	39
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems	39
Induction of decision trees as classification models through metaheuristics	39
Solving electric vehicle–drone routing problem using memetic algorithm	38
A many-objective evolutionary algorithm based on constraints for collaborative computation offloading	38
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization	37
Benchmark problems for large-scale constrained multi-objective optimization with baseline results	37
Multi-objective optimization algorithm for multi-workflow computation offloading in resource-limited IIoT	36
W-dominance: Tradeoff-inspired dominance relation for preference-based evolutionary multi-objective optimization	36
A high-dimensional feature selection algorithm via fast dimensionality reduction and multi-objective differential evolution	36
Evolutionary algorithm based on multi-probability distribution model for stochastic optimization	36
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing	35
Balancing exploration and exploitation in dynamic constrained multimodal multi-objective co-evolutionary algorithm	35
APSM-jSO: A novel jSO variant with an adaptive parameter selection mechanism and a new external archive updating mechanism	34
A coevolutionary algorithm assisted by two archives for constrained multi-objective optimization problems	34
Historical knowledge transfer driven self-adaptive evolutionary multitasking algorithm with hybrid resource release for solving nonlinear equation systems	34
Bankruptcy-evolutionary games based solution for the multi-agent credit assignment problem	33
An interactive filter-wrapper multi-objective evolutionary algorithm for feature selection	33
Property of decision variables-inspired location strategy for multiobjective optimization	32
Evolutionary multistage multitasking method for feature selection in imbalanced data	32
A data-driven model assisted hybrid genetic algorithm for a two-dimensional shelf space allocation problem	32
A novel hybrid particle swarm optimization with marine predators	31
Intelligent pest trap monitoring under uncertainty in food industry	31
Multitask particle swarm optimization algorithm leveraging variable chunking and local meta-knowledge transfer	31
A many-objective optimization evolutionary algorithm based on hyper-dominance degree	31

A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification	30
Expected coordinate improvement for high-dimensional Bayesian optimization	30
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs	30
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network	30
Provable space discretization based evolutionary search for scalable multi-objective security games	30
MFWOA: Multifactorial Whale Optimization Algorithm	30
Adaptive knowledge transfer-based particle swarm optimization for constrained multitask optimization	30
Two-stage bidirectional coevolutionary algorithm for constrained multi-objective optimization	30
Exponential evolution mechanism for in vivo computation	29
Modular interactive computation scheme for the internet of things assisted robotic services	29
Editorial Board	29
Handling objective preference and variable uncertainty in evolutionary multi-objective optimization	28
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms	28
A guided genetic programming with attribute node activation encoding for resource constrained project scheduling problem	28
ME-MEOA/DCC: Multiobjective	28
An enhanced sparrow search swarm optimizer via multi-strategies for high-dimensional optimization problems	28
Multi-strategy particle swarm optimization with adaptive forgetting for base station layout	27
A two-stage cross-neighborhood search algorithm bridging different solution representation spaces for solving the hybrid flow shop scheduling problem	27
The IGD-based prediction strategy for dynamic multi-objective optimization	27
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study	26
Multi-task differential evolution algorithm with dynamic resource allocation: A study on e-waste recycling vehicle routing problem	26
A decomposition-based many-objective ant colony optimization algorithm with adaptive solution construction and selection approaches	26
A congestion-based local search for transmission expansion planning problems	26
A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery	26
Memetic search for vehicle routing with simultaneous pickup-delivery and time windows	26
Blocking flowshop scheduling problems with release dates	26
Deep and wide search assisted evolutionary algorithm with reference vector guidance for many-objective optimization	26
An adaptive interval many-objective evolutionary algorithm with information entropy dominance	25
Parallel fractional dominance MOEAs for feature subset selection in big data	25
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities	25
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems	25
Constrained multi-objective evolutionary algorithm based on the correlation between objectives and constraints	25
Enhanced multi-swarm cooperative particle swarm optimizer	24
Differential evolution with orthogonal array‐based initialization and a novel selection strategy	24
A steady-state weight adaptation method for decomposition-based evolutionary multi-objective optimisation	24
A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering	24
Adaptive Ant Colony Optimization with node clustering applied to the Travelling Salesman Problem	24
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization	24
Memetic algorithm based on learning and decomposition for multiobjective flexible job shop scheduling considering human factors	24
Multimodal multi-objective optimization: Comparative study of the state-of-the-art	23
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization	23
Convolutional neural network combined with reinforcement learning-based dual-mode grey wolf optimizer to identify crop diseases and pests	23
A neighborhood comprehensive learning particle swarm optimization for the vehicle routing problem with time windows	23
An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization	23
Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment	23
A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem	22
BDE-Jaya: A binary discrete enhanced Jaya algorithm for multiple automated guided vehicle scheduling problem in matrix manufacturing workshop	22
Collaborative scheduling of production resources and spare parts inventory for distributed equipment with feedback guidance and minimum capacity loss	22
Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification	22
Mde-EvoNAS: Automatic network architecture design for monocular depth estimation via evolutionary neural architecture search	22
Fast thresholded concordance probability for evolutionary optimization	22
An improved adaptive hybrid algorithm for solving distributed flexible job shop scheduling problem	22
Helper objective-based multifactorial evolutionary algorithm for continuous optimization	22
Tensor factorization-based particle swarm optimization for large-scale many-objective problems	22
A novel penalty function-based interval constrained multi-objective optimization algorithm for uncertain problems	22
Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization	22
A comprehensive investigation on novel center-based sampling for large-scale global optimization	21
A distribution evolutionary algorithm for the graph coloring problem	21
Metaheuristics should be tested on large benchmark set with various numbers of function evaluations	21
State-space adaptive exploration for explainable particle swarm optimization	21
An enhanced adaptive differential evolution algorithm with dual performance evaluation metrics for numerical optimization	21
PS-Tree: A piecewise symbolic regression tree	21
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer’s Disease prediction through handwriting analysis	21
A collaboration-based multi-objective algorithm for distributed hybrid flowshop scheduling with resource constraints	21
A cluster-based genetic optimization method for satellite range scheduling system	21
Manifold clustering-based prediction for dynamic multiobjective optimization	20
Hierarchical structure-based joint operations algorithm for global optimization	20
A Q-Learning based NSGA-II for dynamic flexible job shop scheduling	20
Two-level parameter cooperation-based population regeneration framework for differential evolution	20
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems	20
A Novel Parametric benchmark generator for dynamic multimodal optimization	20
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems	20
Editorial Board	19
A classification-assisted environmental selection strategy for multiobjective optimization	19
Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm	19
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization	19
A problem knowledge driven bi-population cooperative framework for time-varying ratio error estimation of voltage transformers	19
Enhanced auxiliary population search for diversity improvement of constrained multiobjective coevolutionary optimization	19
Strengthened grey wolf optimization algorithms for numerical optimization tasks and AutoML	19
A supervised parallel optimisation framework for metaheuristic algorithms	19

Editorial Board	19
Editorial Board	19
IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization algorithm	19
A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones	18
Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments	18
Multi-guiding spark fireworks algorithm: Solving multimodal functions by multiple guiding sparks in fireworks algorithm	18
Meta-heuristic Techniques in Microgrid Management: A Survey	18
HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information	18
Evolutionary multimodal multiobjective optimization guided by growing neural gas	18
Optimization techniques and applications in fog computing: An exhaustive survey	18
Harmony search algorithm and related variants: A systematic review	18
From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013–2023)	18
A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction	18
Proximity ranking-based multimodal differential evolution	18
Thermal parameter identification of concrete dams based on hybrid particle swarm optimization using distributed optical fiber monitoring data	18
MjSO: A modified differential evolution with a probability selection mechanism and a directed mutation strategy	18
Finding all Pareto optimal paths by simulating ripple relay race in multi-objective networks	17
Decomposition-based evolutionary algorithm with dual adjustments for many-objective optimization problems	17
WITHDRAWN: Corrigendum to “Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application” [Swarm and Evolutionary Computation 63 (2021) 1–40/100868]	17
Editorial Board	17
Non-equidistant grey prediction evolution algorithm: A mathematical model-based meta-heuristic technique	17
Surrogate-assisted multi-objective optimization via knee-oriented Pareto front estimation	17
Q-learning assisted multi-objective evolutionary optimization for low-carbon scheduling of open-pit mine trucks	17
A new moving peaks benchmark with attractors for dynamic evolutionary algorithms	17
Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time	16
Swarm flocking using optimisation for a self-organised collective motion	16
Differential Evolution with perturbation mechanism and covariance matrix based stagnation indicator for numerical optimization	16
Transferring knowledge by budget online learning for multiobjective multitasking optimization	16
Structural bias in metaheuristic algorithms: Insights, open problems, and future prospects	16
A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts	16
Reinforcement learning-assisted particle swarm algorithm for effluent scheduling problem with an influent estimation of WWTP	16
Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection	16
Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization	16
A coarse- and fine-grained niching-based differential evolution for multimodal optimization problems and its application in multirobot task allocation	16
Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization	16
An aRBF surrogate-assisted neighborhood field optimizer for expensive problems	16
Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times	16
A particle swarm optimization-based deep clustering algorithm for power load curve analysis	16
Surrogate-assisted push and pull search for expensive constrained multi-objective optimization problems	16
CIR-DE: A chaotic individual regeneration mechanism for solving the stagnation problem in differential evolution	16
A decompose-and-learn multi-objective algorithm for scheduling large-scale earth observation satellites	15
A diversity-driven migration strategy for distributed evolutionary algorithms	15
A novel deep self-learning method for flexible job-shop scheduling problems with multiplicity: Deep reinforcement learning assisted the fluid master-apprentice evolutionary algorithm	15
A dimensionality reduction assisted evolutionary algorithm for high-dimensional expensive multi/many-objective optimization	15
A new gradient free local search mechanism for constrained multi-objective optimization problems	15
Offspring regeneration driven by finite element mapping for large-scale evolutionary multiobjective optimization	15
Learning to search promising regions by space partitioning for evolutionary methods	15
Hyper-Heuristics to customise metaheuristics for continuous optimisation	15
Techniques for inferring context-free Lindenmayer systems with genetic algorithm	15
Editorial Board	15
Hierarchical multi-objective optimization of proton exchange membrane fuel cell with parameter uncertainty	15
Adaptive distance-based multi-objective particle swarm optimization algorithm with simple position update	15
A data augmentation based Kriging-assisted reference vector guided evolutionary algorithm for expensive dynamic multi-objective optimization	15
Failure-aware resource provisioning for hybrid computation offloading in cloud-assisted edge computing using gravity reference approach	14
Automated design of priority rules for resource-constrained project scheduling problem using surrogate-assisted genetic programming	14
Integration routing and scheduling for multiple home health care centers using a multi-objective cooperation evolutionary algorithm with stochastic simulation	14
A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling	14
Parameter-less Pareto local search for multi-objective neural architecture search with the Interleaved Multi-start Scheme	14
A Q-learning-based biology migration algorithm for energy-saving flexible job shop scheduling with speed adjustable machines and transporters	14
Point cloud registration via sampling-based evolutionary multitasking	14
Penalty and prediction methods for dynamic constrained multi-objective optimization	14
PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization	14
An evolutionary algorithm driving by dimensionality reduction operator and knowledge model for the electric vehicle routing problem with flexible charging strategy	14
Impact of population topology on particle swarm optimization and its variants: An information propagation perspective	14