Swarm and Evolutionary Computation

Article	Citations
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning	226
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	158
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation	121
Random projection enhancement: A Novel method for improving performance of surrogate models	120
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm	112
Editorial Board	111
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization	101
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization	101
A coevolutionary algorithm for constrained multi-objective optimization with dynamic relaxation	100
Redefined decision variable analysis method for large-scale optimization and its application to feature selection	97
Multifactorial differential evolution enhanced by adaptive Gaussian-mixture-model-based knowledge transfer	97
An optimized watermarking scheme based on genetic algorithm and elliptic curve	94
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis	94
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection	83
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning	82
A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems	81
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming	78
A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints	78
Dual-individual genetic algorithm: A dual-individual approach for efficient training of multi-layer neural networks	75
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications	74
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing	72
Choice of benchmark optimization problems does matter	70
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment	67
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems	66
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach	66

Differential evolution with evolutionary scale adaptation	65
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction	64
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms	64
Large language models as surrogate models in evolutionary algorithms: A preliminary study	64
Secure key based cloud security utilizing three-way protection with martino homomorphic encryption for preventing unauthorized data access	63
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time	61
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	61
Population-level center-based sampling for meta-heuristic algorithms	59
Exploring high-dimensional optimization by sparse and low-rank evolution strategy	58
A Generational Difference Vector based Tri-Entropy Structure Optimizer for large-scale multiobjective optimization	58
A bi-objective routing problem for cooperated trucks and drones in river water quality monitoring	58
Decomposition-based dual-population evolutionary algorithm for constrained multi-objective problem	57
GTG-ACO: Graph Transformer Guided Ant Colony Optimization for learning heuristics and pheromone dynamics for combinatorial optimization	56
Differential evolution with bi-strategy co-deployment framework and diversity improvement	55
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems	53
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks	53
A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts	53
QACO: An adaptive multi-phase ant colony optimization approach for robust feature selection	52
Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm	52
A hybrid estimation of distribution algorithm for agile earth observing satellite task scheduling problem	51
Surrogate-assisted differential evolution: A survey	51
A many-objective evolutionary algorithm based on constraints for collaborative computation offloading	51
Induction of decision trees as classification models through metaheuristics	51
Swarm intelligence applications for emergency evacuation planning: state of the art, recent developments, and future research opportunities	50
Optimizing multi-period multi-mode multi-time window home health care scheduling with an improved tabu search algorithm	50
KDDCP: Kernel density driven cumulative probability-cooperated framework for constrained muti-objective optimization	49
Welcome from Editor-in-Chief of Swarm and Evolutionary Computation	49
Auxiliary optimization framework based on scaling transformation matrix for large-scale multi-objective problem	49
Pareto multi-objective optimization for high locality-preserving space-filling curve identification	49
A decimal artificial bee colony with elite strategy for the cutting stock problem with irregular items	49
A knee-oriented many-objective differential evolution with bi-strategy and Manhattan distance-domination range	48
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm	47
A multi-objective hierarchical aggregation optimization algorithm for dynamic network structures in federated learning	47
A hybrid optimization algorithm for structural balance model based on influence between nodes and community quality	46
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure	46
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection	44
Integrating evacuation and relief redistribution into last-mile relief network design: A two-stage distributionally robust optimization approach	44
On the representativeness metric of benchmark problems in numerical optimization	44
On the elusivity of dynamic optimisation problems	44
Greedy randomized adaptive search and benders decomposition algorithms to solve the distributed no-idle permutation flowshop scheduling problem	44
Dynamic multi-objective optimization algorithm based on incremental Gaussian mixture model	44
A metaheuristic approach for mining gradual patterns	44
A manifold prediction strategy for evolutionary dynamic multiobjective optimization	44
Graph embedding based ant colony optimization for negative influence propagation suppression under cost constraints	43
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization	43
Solving electric vehicle–drone routing problem using memetic algorithm	43
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics	42
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times	42
Benchmark problems for large-scale constrained multi-objective optimization with baseline results	42
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times	41

An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems	41
IMNE: Maximizing influence through deep learning-based node embedding in social network	41
Evolutionary multistage multitasking method for feature selection in imbalanced data	40
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing	40
Adaptive knowledge transfer-based particle swarm optimization for constrained multitask optimization	40
Incremental learning-enhanced ensemble surrogate-assisted evolutionary algorithm for lifelong berth allocation and quay crane assignment problems	40
A data-driven model assisted hybrid genetic algorithm for a two-dimensional shelf space allocation problem	40
Intelligent pest trap monitoring under uncertainty in food industry	40
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network	39
A multi-objective benchmark for UAV path planning with baseline results	39
MFWOA: Multifactorial Whale Optimization Algorithm	39
Multi-objective optimization algorithm for multi-workflow computation offloading in resource-limited IIoT	39
An optimized multi-source feature extraction model with black-winged kite algorithm for hourly seamless PM2.5 estimation	39
Property of decision variables-inspired location strategy for multiobjective optimization	38
Expected coordinate improvement for high-dimensional Bayesian optimization	38
Learning-infused optimization for evolutionary computation	38
Cluster and reinforcement learning-based multi-objective evolutionary algorithm for joint scheduling of virtual machines and prioritize tasks in cloud computing	38
Optimum settings for discrete PID control of nonlinear systems	37
A novel hybrid particle swarm optimization with marine predators	37
A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification	36
A coevolutionary algorithm assisted by two archives for constrained multi-objective optimization problems	36
Balancing exploration and exploitation in dynamic constrained multimodal multi-objective co-evolutionary algorithm	36
Evolutionary algorithm based on multi-probability distribution model for stochastic optimization	36
Historical knowledge transfer driven self-adaptive evolutionary multitasking algorithm with hybrid resource release for solving nonlinear equation systems	36
Bankruptcy-evolutionary games based solution for the multi-agent credit assignment problem	35
Multitask particle swarm optimization algorithm leveraging variable chunking and local meta-knowledge transfer	35
Provable space discretization based evolutionary search for scalable multi-objective security games	35
APSM-jSO: A novel jSO variant with an adaptive parameter selection mechanism and a new external archive updating mechanism	35
A high-dimensional feature selection algorithm via fast dimensionality reduction and multi-objective differential evolution	35
A many-objective optimization evolutionary algorithm based on hyper-dominance degree	35
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs	35
Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization	34
An enhanced sparrow search swarm optimizer via multi-strategies for high-dimensional optimization problems	34
SFG-DE: An explainable and evolvable differential evolution for learning to generate operator structures	34
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study	34
A Multi-population genetic programming algorithm to model estimation for LLC resonant converter	34
Surrogate-Assisted Differential Evolution Light Gradient Boosting Machine for Mangrove Aboveground Biomass inversion	34
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms	33
A two-stage cross-neighborhood search algorithm bridging different solution representation spaces for solving the hybrid flow shop scheduling problem	33
Modular interactive computation scheme for the internet of things assisted robotic services	33
Reinforcement learning-integrated evolutionary algorithm for enhanced unmanned aerial vehicle coverage path planning	33
Two-stage bidirectional coevolutionary algorithm for constrained multi-objective optimization	32
A large-scale multi-objective optimization framework based on a dual-space attention mechanism	32
A guided genetic programming with attribute node activation encoding for resource constrained project scheduling problem	32
An adaptive weight optimization algorithm based on decision variable grouping for large-scale multi-objective optimization problems	32
Handling objective preference and variable uncertainty in evolutionary multi-objective optimization	32
The IGD-based prediction strategy for dynamic multi-objective optimization	31
An adaptive interval many-objective evolutionary algorithm with information entropy dominance	31
A self-adjusting representation-based multitask PSO for high-dimensional feature selection	31
Multi-strategy particle swarm optimization with adaptive forgetting for base station layout	31
A steady-state weight adaptation method for decomposition-based evolutionary multi-objective optimisation	31
A subspace strategy based coevolutionary framework for constrained multimodal multiobjective optimization problems	31
A novel disjunctive-graph-based meta-heuristic approach for multi-objective resource-constrained project scheduling problem with multi-skilled staff	31
Deep and wide search assisted evolutionary algorithm with reference vector guidance for many-objective optimization	30
Enhancement of collaborative communication using optimized dynamic density graph convolutional networks in IoT-enabled intelligent surfaces	30
Regularity-based evolutionary multi-objective optimization review	29
A constrained multi-objective optimization algorithm with adaptive dual-stage search strategy utilizing the relationship between different Pareto fronts	29
An improved genetic algorithm and clone selection optimization-based gated recurrent unit networks for earthquake magnitude prediction	28
Blocking flowshop scheduling problems with release dates	28
Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification	28
A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery	28
Adaptive Ant Colony Optimization with node clustering applied to the Travelling Salesman Problem	27
Convolutional neural network combined with reinforcement learning-based dual-mode grey wolf optimizer to identify crop diseases and pests	27
DA2MODE: Dynamic Archive with Adaptive Multi-Operator Differential Evolution for numerical optimization	27
Constrained multi-objective evolutionary algorithm based on the correlation between objectives and constraints	27
A decomposition-based many-objective ant colony optimization algorithm with adaptive solution construction and selection approaches	27
Parallel fractional dominance MOEAs for feature subset selection in big data	26
Multi-task differential evolution algorithm with dynamic resource allocation: A study on e-waste recycling vehicle routing problem	26
Distributed assembly flexible job shop scheduling with dual-resource constraints via a deep Q-network based memetic algorithm	26
Multimodal multi-objective optimization: Comparative study of the state-of-the-art	26
An intelligent automated guided vehicle scheduling framework for manufacturing: Balancing energy, efficiency, and task completion	26
A multiple direction search algorithm for continuous optimization	25
A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering	25
A congestion-based local search for transmission expansion planning problems	25
A matheuristic-based self-learning evolutionary algorithm for lot streaming hybrid flow shop group scheduling with limited auxiliary modules	25
Memetic algorithm based on learning and decomposition for multiobjective flexible job shop scheduling considering human factors	25
A neighborhood comprehensive learning particle swarm optimization for the vehicle routing problem with time windows	25
Partition-informed Ant Colony Optimization for min–max multiple TSP	25
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization	25
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities	25

Decomposition-based multi-objective evolutionary algorithm for bi-optimal selection	25
Differential evolution with orthogonal array‐based initialization and a novel selection strategy	24
Enhanced multi-swarm cooperative particle swarm optimizer	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	24
A constrained multi-objective evolutionary algorithm based on online problem identification and separate handling	24
Teaching–learning based optimization of a multi-server machining model with emergency vacation and retention of reneged machines	24
Fast thresholded concordance probability for evolutionary optimization	24
A knowledge transfer-based strategy for constrained multiobjective optimization	24
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization	24
Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment	24
An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization	24
Particle swarm optimization based on K-means clustering and adaptive dual-groups strategy	24
Helper objective-based multifactorial evolutionary algorithm for continuous optimization	23
A distribution evolutionary algorithm for the graph coloring problem	23
Exploratory landscape analysis on black-box optimization problems via Graph Neural Network	23
A dynamic task-assisted constrained multimodal multi-objective optimization algorithm based on reinforcement learning	23
GMO: A general multimodal optimization framework applicable to various global metaheuristic algorithms	23
Hierarchical structure-based joint operations algorithm for global optimization	23
A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem	22
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems	22
Mde-EvoNAS: Automatic network architecture design for monocular depth estimation via evolutionary neural architecture search	22
Manifold clustering-based prediction for dynamic multiobjective optimization	22
Knowledge-assisted evolutionary task scheduling for hierarchical multiagent systems with transferable surrogates	22
Efficient three-stage surrogate-assisted differential evolution for expensive optimization problems	22
Metaheuristics should be tested on large benchmark set with various numbers of function evaluations	22
PS-Tree: A piecewise symbolic regression tree	22
Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization	22
Tensor factorization-based particle swarm optimization for large-scale many-objective problems	22
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer’s Disease prediction through handwriting analysis	22
A novel penalty function-based interval constrained multi-objective optimization algorithm for uncertain problems	22
Multiform optimization with coupled subspace alignment and two-stage adaptive differential evolution for interval constrained scheduling of coal mine integrated energy systems	22
A cluster-based genetic optimization method for satellite range scheduling system	22
Angle information enhanced kriging-assisted adaptive evolutionary algorithm for computationally highly expensive high-dimensional problems	21
Collaborative scheduling of production resources and spare parts inventory for distributed equipment with feedback guidance and minimum capacity loss	21
A Q-Learning based NSGA-II for dynamic flexible job shop scheduling	21
A collaboration-based multi-objective algorithm for distributed hybrid flowshop scheduling with resource constraints	21
Two-level parameter cooperation-based population regeneration framework for differential evolution	21
BDE-Jaya: A binary discrete enhanced Jaya algorithm for multiple automated guided vehicle scheduling problem in matrix manufacturing workshop	21
State-space adaptive exploration for explainable particle swarm optimization	21
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems	21
An improved adaptive hybrid algorithm for solving distributed flexible job shop scheduling problem	21
DJAYA-RL: Discrete JAYA algorithm integrating reinforcement learning for the discounted {0-1} knapsack problem	20
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization	20
An analysis of SAT constrained MNK-landscapes as benchmark problems for multi-objective evolutionary algorithms	20
A Tree neural network deep reinforcement learning for flexible job shop scheduling with transportation constraints	20
Dynamic strategy-based hybrid genetic algorithm for solving multi-task decision-making problems for heterogeneous surface vessels	20
An improved arithmetic optimization algorithm based on reinforcement learning for global optimization and engineering design problems	20
Proximity ranking-based multimodal differential evolution	20
Editorial Board	20
Offline evolutionary optimization with problem-driven model pool design and weighted model selection indicator	20
A classification-assisted environmental selection strategy for multiobjective optimization	20
Strengthened grey wolf optimization algorithms for numerical optimization tasks and AutoML	20
Thermal parameter identification of concrete dams based on hybrid particle swarm optimization using distributed optical fiber monitoring data	20
IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization algorithm	20
Editorial Board	20
Evolutionary multimodal multiobjective optimization guided by growing neural gas	20
A supervised parallel optimisation framework for metaheuristic algorithms	19
A Dynamic Multi-objective Optimization approach for computing resource allocation in industrial model repository	19
Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments	19
HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information	19
From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013–2023)	19
A dynamic multi-objective optimization evolutionary algorithm based on classification of decision variables and inter-layer collaborative prediction	19
Harmony search algorithm and related variants: A systematic review	19
Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm	19
A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones	19
Enhanced auxiliary population search for diversity improvement of constrained multiobjective coevolutionary optimization	19
MjSO: A modified differential evolution with a probability selection mechanism and a directed mutation strategy	19
A problem knowledge driven bi-population cooperative framework for time-varying ratio error estimation of voltage transformers	19
A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction	19
Multi-guiding spark fireworks algorithm: Solving multimodal functions by multiple guiding sparks in fireworks algorithm	19
Meta-heuristic Techniques in Microgrid Management: A Survey	19
Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time	18
Reinforcement learning-assisted particle swarm algorithm for effluent scheduling problem with an influent estimation of WWTP	18
Non-equidistant grey prediction evolution algorithm: A mathematical model-based meta-heuristic technique	18
Metaheuristic-optimized TabNet ensemble for accurate and interpretable obesity classification	18
A new moving peaks benchmark with attractors for dynamic evolutionary algorithms	18
An aRBF surrogate-assisted neighborhood field optimizer for expensive problems	18
Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times	18
Methodology for optimizing electrical grounding grids in stratified soils using advanced calculation techniques and evolutionary algorithms	18
Decomposition-based evolutionary algorithm with dual adjustments for many-objective optimization problems	18
Improved crayfish optimization algorithm based on multimodal collaborative search and dynamic distribution perturbation for estimating State-of-Health of lithium-ion batteries	18
Q-learning assisted multi-objective evolutionary optimization for low-carbon scheduling of open-pit mine trucks	18
Efficient preference learning algorithm for interactive evolutionary multi-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
Dynamic flexible job shop scheduling algorithm for multi-task collaborative optimization	18
An effective combination of mechanisms for particle swarm optimization-based ensemble strategy	17
A frequent pattern-based coevolutionary framework for multi-component spectral feature selection	17
Point cloud registration via sampling-based evolutionary multitasking	17
Balancing objective and switch cost for robust optimization over time	17
Parameter-less Pareto local search for multi-objective neural architecture search with the Interleaved Multi-start Scheme	17
Lightweight bi-level optimization algorithm for synchronized scheduling of production and transportation in a reconfigurable flexible job shop	17
A particle swarm optimization-based deep clustering algorithm for power load curve analysis	17
Decomposition-based multi-objective reinforcement learning for dynamic disassembly job shop scheduling with urgency guidance	17
Handling of objectives and constraints with heterogeneous evaluation times for surrogate-assisted evolutionary multi- and many-objective optimization	17