Swarm and Evolutionary Computation

Article	Citations
Editorial Board	200
Random projection enhancement: A Novel method for improving performance of surrogate models	189
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm	137
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	127
An optimized watermarking scheme based on genetic algorithm and elliptic curve	112
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction	106
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation	101
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization	95
Large language models as surrogate models in evolutionary algorithms: A preliminary study	92
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach	88
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis	88
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time	82
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment	79
A partition-based constrained multi-objective evolutionary algorithm	79
A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints	75
A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems	72
A coevolutionary algorithm for constrained multi-objective optimization with dynamic relaxation	69
Redefined decision variable analysis method for large-scale optimization and its application to feature selection	64
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization	57
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming	57
Choice of benchmark optimization problems does matter	56
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications	55
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems	55
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	55
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection	54

A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning	54
Differential evolution with evolutionary scale adaptation	53
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning	53
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms	52
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing	51
Pareto multi-objective optimization for high locality-preserving space-filling curve identification	50
Population-level center-based sampling for meta-heuristic algorithms	50
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks	50
On the elusivity of dynamic optimisation problems	49
Decomposition-based dual-population evolutionary algorithm for constrained multi-objective problem	48
Auxiliary optimization framework based on scaling transformation matrix for large-scale multi-objective problem	48
A hybrid estimation of distribution algorithm for agile earth observing satellite task scheduling problem	47
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times	47
Swarm intelligence applications for emergency evacuation planning: state of the art, recent developments, and future research opportunities	46
A decimal artificial bee colony with elite strategy for the cutting stock problem with irregular items	45
KDDCP: Kernel density driven cumulative probability-cooperated framework for constrained muti-objective optimization	45
Graph embedding based ant colony optimization for negative influence propagation suppression under cost constraints	45
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems	44
Exploring high-dimensional optimization by sparse and low-rank evolution strategy	44
A hybrid optimization algorithm for structural balance model based on influence between nodes and community quality	44
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection	44
A metaheuristic approach for mining gradual patterns	43
Welcome from Editor-in-Chief of Swarm and Evolutionary Computation	43
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics	42
COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems	42
A knee-oriented many-objective differential evolution with bi-strategy and Manhattan distance-domination range	42
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm	41
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure	41
Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm	41
Greedy randomized adaptive search and benders decomposition algorithms to solve the distributed no-idle permutation flowshop scheduling problem	41
Surrogate-assisted differential evolution: A survey	41
A many-objective evolutionary algorithm based on constraints for collaborative computation offloading	40
On the representativeness metric of benchmark problems in numerical optimization	40
Solving electric vehicle–drone routing problem using memetic algorithm	40
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization	39
Induction of decision trees as classification models through metaheuristics	39
IMNE: Maximizing influence through deep learning-based node embedding in social network	39
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times	39
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems	37
A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts	37
Benchmark problems for large-scale constrained multi-objective optimization with baseline results	37
Evolutionary algorithm based on multi-probability distribution model for stochastic optimization	36
Adaptive knowledge transfer-based particle swarm optimization for constrained multitask optimization	36
A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification	35
A multi-objective benchmark for UAV path planning with baseline results	35
Balancing exploration and exploitation in dynamic constrained multimodal multi-objective co-evolutionary algorithm	34
A novel hybrid particle swarm optimization with marine predators	34
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing	34
Evolutionary multistage multitasking method for feature selection in imbalanced data	34
MFWOA: Multifactorial Whale Optimization Algorithm	33

A many-objective optimization evolutionary algorithm based on hyper-dominance degree	33
Property of decision variables-inspired location strategy for multiobjective optimization	33
Bankruptcy-evolutionary games based solution for the multi-agent credit assignment problem	33
APSM-jSO: A novel jSO variant with an adaptive parameter selection mechanism and a new external archive updating mechanism	33
Intelligent pest trap monitoring under uncertainty in food industry	33
Learning-infused optimization for evolutionary computation	33
Multitask particle swarm optimization algorithm leveraging variable chunking and local meta-knowledge transfer	33
A data-driven model assisted hybrid genetic algorithm for a two-dimensional shelf space allocation problem	33
An optimized multi-source feature extraction model with black-winged kite algorithm for hourly seamless PM2.5 estimation	32
Expected coordinate improvement for high-dimensional Bayesian optimization	32
Optimum settings for discrete PID control of nonlinear systems	32
A high-dimensional feature selection algorithm via fast dimensionality reduction and multi-objective differential evolution	31
A coevolutionary algorithm assisted by two archives for constrained multi-objective optimization problems	31
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs	31
Historical knowledge transfer driven self-adaptive evolutionary multitasking algorithm with hybrid resource release for solving nonlinear equation systems	31
Multi-objective optimization algorithm for multi-workflow computation offloading in resource-limited IIoT	31
Provable space discretization based evolutionary search for scalable multi-objective security games	31
An interactive filter-wrapper multi-objective evolutionary algorithm for feature selection	31
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network	31
A guided genetic programming with attribute node activation encoding for resource constrained project scheduling problem	30
Editorial Board	30
ME-MEOA/DCC: Multiobjective	30
Modular interactive computation scheme for the internet of things assisted robotic services	30
Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization	29
Handling objective preference and variable uncertainty in evolutionary multi-objective optimization	29
Surrogate-Assisted Differential Evolution Light Gradient Boosting Machine for Mangrove Aboveground Biomass inversion	29
A subspace strategy based coevolutionary framework for constrained multimodal multiobjective optimization problems	29
A two-stage cross-neighborhood search algorithm bridging different solution representation spaces for solving the hybrid flow shop scheduling problem	29
Memetic search for vehicle routing with simultaneous pickup-delivery and time windows	28
Reinforcement learning-integrated evolutionary algorithm for enhanced unmanned aerial vehicle coverage path planning	28
An enhanced sparrow search swarm optimizer via multi-strategies for high-dimensional optimization problems	28
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study	28
Exponential evolution mechanism for in vivo computation	28
Two-stage bidirectional coevolutionary algorithm for constrained multi-objective optimization	28
The IGD-based prediction strategy for dynamic multi-objective optimization	28
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms	28
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization	27
A matheuristic-based self-learning evolutionary algorithm for lot streaming hybrid flow shop group scheduling with limited auxiliary modules	27
A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery	27
Convolutional neural network combined with reinforcement learning-based dual-mode grey wolf optimizer to identify crop diseases and pests	27
Differential evolution with orthogonal array‐based initialization and a novel selection strategy	27
Multi-strategy particle swarm optimization with adaptive forgetting for base station layout	27
Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment	27
Memetic algorithm based on learning and decomposition for multiobjective flexible job shop scheduling considering human factors	27
Multi-task differential evolution algorithm with dynamic resource allocation: A study on e-waste recycling vehicle routing problem	27
Regularity-based evolutionary multi-objective optimization review	26
A steady-state weight adaptation method for decomposition-based evolutionary multi-objective optimisation	26
An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization	26
A constrained multi-objective evolutionary algorithm based on online problem identification and separate handling	26
Blocking flowshop scheduling problems with release dates	26
An improved genetic algorithm and clone selection optimization-based gated recurrent unit networks for earthquake magnitude prediction	26
A decomposition-based many-objective ant colony optimization algorithm with adaptive solution construction and selection approaches	25
Enhanced multi-swarm cooperative particle swarm optimizer	25
A congestion-based local search for transmission expansion planning problems	25
An adaptive interval many-objective evolutionary algorithm with information entropy dominance	25
Constrained multi-objective evolutionary algorithm based on the correlation between objectives and constraints	25
Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification	25
A novel disjunctive-graph-based meta-heuristic approach for multi-objective resource-constrained project scheduling problem with multi-skilled staff	24
A constrained multi-objective optimization algorithm with adaptive dual-stage search strategy utilizing the relationship between different Pareto fronts	24
Adaptive Ant Colony Optimization with node clustering applied to the Travelling Salesman Problem	24
Enhancement of collaborative communication using optimized dynamic density graph convolutional networks in IoT-enabled intelligent surfaces	24
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities	23
Multimodal multi-objective optimization: Comparative study of the state-of-the-art	23
A neighborhood comprehensive learning particle swarm optimization for the vehicle routing problem with time windows	23
Parallel fractional dominance MOEAs for feature subset selection in big data	23
A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering	23
Deep and wide search assisted evolutionary algorithm with reference vector guidance for many-objective optimization	23
A cluster-based genetic optimization method for satellite range scheduling system	22
A distribution evolutionary algorithm for the graph coloring problem	22
A comprehensive investigation on novel center-based sampling for large-scale global optimization	22
Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization	22
Mde-EvoNAS: Automatic network architecture design for monocular depth estimation via evolutionary neural architecture search	22
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization	22
Collaborative scheduling of production resources and spare parts inventory for distributed equipment with feedback guidance and minimum capacity loss	22
Fast thresholded concordance probability for evolutionary optimization	21
An enhanced adaptive differential evolution algorithm with dual performance evaluation metrics for numerical optimization	21
Hierarchical structure-based joint operations algorithm for global optimization	21
Angle information enhanced kriging-assisted adaptive evolutionary algorithm for computationally highly expensive high-dimensional problems	21
Tensor factorization-based particle swarm optimization for large-scale many-objective problems	21
Helper objective-based multifactorial evolutionary algorithm for continuous optimization	21

Automatic feature extraction with Vectorial Genetic Programming for Alzheimer’s Disease prediction through handwriting analysis	21
Teaching–learning based optimization of a multi-server machining model with emergency vacation and retention of reneged machines	21
Two-level parameter cooperation-based population regeneration framework for differential evolution	21
A collaboration-based multi-objective algorithm for distributed hybrid flowshop scheduling with resource constraints	21
A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem	20
State-space adaptive exploration for explainable particle swarm optimization	20
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems	20
A novel penalty function-based interval constrained multi-objective optimization algorithm for uncertain problems	20
An improved adaptive hybrid algorithm for solving distributed flexible job shop scheduling problem	20
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems	20
A Q-Learning based NSGA-II for dynamic flexible job shop scheduling	20
Metaheuristics should be tested on large benchmark set with various numbers of function evaluations	20
BDE-Jaya: A binary discrete enhanced Jaya algorithm for multiple automated guided vehicle scheduling problem in matrix manufacturing workshop	20
Manifold clustering-based prediction for dynamic multiobjective optimization	20
Editorial Board	19
A problem knowledge driven bi-population cooperative framework for time-varying ratio error estimation of voltage transformers	19
Thermal parameter identification of concrete dams based on hybrid particle swarm optimization using distributed optical fiber monitoring data	19
Editorial Board	19
Editorial Board	19
Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm	19
PS-Tree: A piecewise symbolic regression tree	19
IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization algorithm	19
A Novel Parametric benchmark generator for dynamic multimodal optimization	19
A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones	18
HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information	18
DJAYA-RL: Discrete JAYA algorithm integrating reinforcement learning for the discounted {0-1} knapsack problem	18
An improved arithmetic optimization algorithm based on reinforcement learning for global optimization and engineering design problems	18
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization	18
Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments	18
Proximity ranking-based multimodal differential evolution	18
Evolutionary multimodal multiobjective optimization guided by growing neural gas	18
A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction	18
A classification-assisted environmental selection strategy for multiobjective optimization	18
Offline evolutionary optimization with problem-driven model pool design and weighted model selection indicator	18
MjSO: A modified differential evolution with a probability selection mechanism and a directed mutation strategy	18
Meta-heuristic Techniques in Microgrid Management: A Survey	18
Optimization techniques and applications in fog computing: An exhaustive survey	18
Multi-guiding spark fireworks algorithm: Solving multimodal functions by multiple guiding sparks in fireworks algorithm	18
An analysis of SAT constrained MNK-landscapes as benchmark problems for multi-objective evolutionary algorithms	18
Enhanced auxiliary population search for diversity improvement of constrained multiobjective coevolutionary optimization	18
A dynamic multi-objective optimization evolutionary algorithm based on classification of decision variables and inter-layer collaborative prediction	18
From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013–2023)	18
Strengthened grey wolf optimization algorithms for numerical optimization tasks and AutoML	18
A supervised parallel optimisation framework for metaheuristic algorithms	18
Editorial Board	17
Methodology for optimizing electrical grounding grids in stratified soils using advanced calculation techniques and evolutionary algorithms	17
Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time	17
A particle swarm optimization-based deep clustering algorithm for power load curve analysis	17
Non-equidistant grey prediction evolution algorithm: A mathematical model-based meta-heuristic technique	17
Harmony search algorithm and related variants: A systematic review	17
Differential Evolution with perturbation mechanism and covariance matrix based stagnation indicator for numerical optimization	17
Reinforcement learning-assisted particle swarm algorithm for effluent scheduling problem with an influent estimation of WWTP	17
Hierarchical multi-objective optimization of proton exchange membrane fuel cell with parameter uncertainty	16
A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts	16
A new moving peaks benchmark with attractors for dynamic evolutionary algorithms	16
Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times	16
Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization	16
A novel deep self-learning method for flexible job-shop scheduling problems with multiplicity: Deep reinforcement learning assisted the fluid master-apprentice evolutionary algorithm	16
An aRBF surrogate-assisted neighborhood field optimizer for expensive problems	16
Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization	16
Surrogate-assisted multi-objective optimization via knee-oriented Pareto front estimation	16
Editorial Board	16
PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization	16
Decomposition-based evolutionary algorithm with dual adjustments for many-objective optimization problems	16
Q-learning assisted multi-objective evolutionary optimization for low-carbon scheduling of open-pit mine trucks	16
Swarm flocking using optimisation for a self-organised collective motion	16
Learning to search promising regions by space partitioning for evolutionary methods	15
Surrogate-assisted push and pull search for expensive constrained multi-objective optimization problems	15
Offspring regeneration driven by finite element mapping for large-scale evolutionary multiobjective optimization	15
Balancing objective and switch cost for robust optimization over time	15
A coarse- and fine-grained niching-based differential evolution for multimodal optimization problems and its application in multirobot task allocation	15
Penalty and prediction methods for dynamic constrained multi-objective optimization	15
A new gradient free local search mechanism for constrained multi-objective optimization problems	15
Adaptive distance-based multi-objective particle swarm optimization algorithm with simple position update	15
A dimensionality reduction assisted evolutionary algorithm for high-dimensional expensive multi/many-objective optimization	15
Parameter-less Pareto local search for multi-objective neural architecture search with the Interleaved Multi-start Scheme	15
Pruning for efficient DenseNet via surrogate-model-assisted genetic algorithm considering neural architecture search proxies	15
Failure-aware resource provisioning for hybrid computation offloading in cloud-assisted edge computing using gravity reference approach	15
Transferring knowledge by budget online learning for multiobjective multitasking optimization	14
Automated design of priority rules for resource-constrained project scheduling problem using surrogate-assisted genetic programming	14
A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling	14
Integration routing and scheduling for multiple home health care centers using a multi-objective cooperation evolutionary algorithm with stochastic simulation	14
Decomposition-based multi-objective reinforcement learning for dynamic disassembly job shop scheduling with urgency guidance	14
Hyper-Heuristics to customise metaheuristics for continuous optimisation	14
Point cloud registration via sampling-based evolutionary multitasking	14
A hybrid meta-heuristic for the flexible flow shop scheduling with blocking	14
CIR-DE: A chaotic individual regeneration mechanism for solving the stagnation problem in differential evolution	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
A Q-learning-based biology migration algorithm for energy-saving flexible job shop scheduling with speed adjustable machines and transporters	14
A diversity-driven migration strategy for distributed evolutionary algorithms	14