Swarm and Evolutionary Computation

Papers
(The median citation count of Swarm and Evolutionary Computation is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application263
Population size in Particle Swarm Optimization205
A particle swarm optimization algorithm for mixed-variable optimization problems201
Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends201
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems193
Coverage path planning of heterogeneous unmanned aerial vehicles based on ant colony system137
A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results115
A memetic algorithm based on two_Arch2 for multi-depot heterogeneous-vehicle capacitated arc routing problem113
GAPSO-H: A hybrid approach towards optimizing the cluster based routing in wireless sensor network111
Differential evolution using improved crowding distance for multimodal multiobjective optimization109
Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends102
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times101
Hybrid MPSO-CNN: Multi-level Particle Swarm optimized hyperparameters of Convolutional Neural Network99
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms98
Multi-objective particle swarm optimization with adaptive strategies for feature selection92
A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems91
A distributed heterogeneous permutation flowshop scheduling problem with lot-streaming and carryover sequence-dependent setup time86
Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D80
Grid search based multi-population particle swarm optimization algorithm for multimodal multi-objective optimization79
A novel stochastic fractal search algorithm with fitness-Distance balance for global numerical optimization77
Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms76
A study of ant-based pheromone spaces for generation constructive hyper-heuristics75
SF-FWA: A Self-Adaptive Fast Fireworks Algorithm for effective large-scale optimization74
A hybrid estimation of distribution algorithm for distributed flexible job shop scheduling with crane transportations72
Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection70
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times70
A Diffused Memetic Optimizer for reactive berth allocation and scheduling at marine container terminals in response to disruptions69
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem69
A novel hybrid grey wolf optimizer with min-conflict algorithm for power scheduling problem in a smart home68
An augmented Tabu search algorithm for the green inventory-routing problem with time windows67
Evolutionary many-Objective algorithm based on fractional dominance relation and improved objective space decomposition strategy66
Differential evolution algorithm with fitness and diversity ranking-based mutation operator65
Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition64
Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization62
Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm61
A genetic programming hyper-heuristic for the distributed assembly permutation flow-shop scheduling problem with sequence dependent setup times59
An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization58
A decomposition-based many-objective evolutionary algorithm updating weights when required55
Novel binary differential evolution algorithm based on Taper-shaped transfer functions for binary optimization problems55
An evolutionary multi-objective optimization framework of discretization-based feature selection for classification55
Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem54
A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization52
Adaptive simulated binary crossover for rotated multi-objective optimization52
A two-stage solution method based on NSGA-II for Green Multi-Objective integrated process planning and scheduling in a battery packaging machinery workshop51
A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem51
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time51
An improved simulated annealing algorithm with crossover operator for capacitated vehicle routing problem50
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems49
Boosting particle swarm optimization by backtracking search algorithm for optimization problems47
A survey on population-based meta-heuristic algorithms for motion planning of aircraft47
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems46
Multimodal multi-objective optimization: Comparative study of the state-of-the-art45
Self adaptive cuckoo search: Analysis and experimentation45
Differential evolution with orthogonal array‐based initialization and a novel selection strategy43
Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times43
Hyper-Heuristics to customise metaheuristics for continuous optimisation42
A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization41
Balanced multi-objective optimization algorithm using improvement based reference points approach41
RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem40
A population perturbation and elimination strategy based genetic algorithm for multi-satellite TT&C scheduling problem39
Multi-objective Q-learning-based hyper-heuristic with Bi-criteria selection for energy-aware mixed shop scheduling39
Adaptive differential evolution with ensembling operators for continuous optimization problems38
Elite archives-driven particle swarm optimization for large scale numerical optimization and its engineering applications38
Offline data-driven evolutionary optimization based on tri-training37
Memetic search for vehicle routing with simultaneous pickup-delivery and time windows35
A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions35
Impact of population topology on particle swarm optimization and its variants: An information propagation perspective35
Adaptive Ant Colony Optimization with node clustering applied to the Travelling Salesman Problem35
Decomposition in decision and objective space for multi-modal multi-objective optimization34
Genetic programming with local search to evolve priority rules for scheduling jobs on a machine with time-varying capacity34
An Adaptive Memetic Approach for Heterogeneous Vehicle Routing Problems with two-dimensional loading constraints33
Induction of decision trees as classification models through metaheuristics33
An effective two-stage iterated greedy algorithm to minimize total tardiness for the distributed flowshop group scheduling problem33
Several variants of simulated annealing hyper-heuristic for a single-machine scheduling with two-scenario-based dependent processing times33
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems33
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization32
An improved multi-objective multifactorial evolutionary algorithm for assembly line balancing problem considering regular production and preventive maintenance scenarios31
A multi-strategy integrated multi-objective artificial bee colony for unsupervised band selection of hyperspectral images30
Variation Operators for Grouping Genetic Algorithms: A Review30
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing30
Moving peak drone search problem: An online multi-swarm intelligence approach for UAV search operations30
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network30
Clearing-based multimodal multi-objective evolutionary optimization with layer-to-layer strategy29
Two infill criteria driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems with medium dimensions29
A systematic literature review on general parameter control for evolutionary and swarm-based algorithms29
Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization29
Enhanced multi-swarm cooperative particle swarm optimizer29
A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution29
Energy trading IoT system based on blockchain28
Two-level parameter cooperation-based population regeneration framework for differential evolution28
Adaptive gradient descent enabled ant colony optimization for routing problems27
Multiobjective evolutionary algorithm assisted stacked autoencoder for PolSAR image classification27
Optimization techniques and applications in fog computing: An exhaustive survey27
Proximity ranking-based multimodal differential evolution27
A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem26
Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems26
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach26
Unified space approach-based Dynamic Switched Crowding (DSC): A new method for designing Pareto-based multi/many-objective algorithms26
An analysis of the search mechanisms of the bees algorithm26
Time efficiency in optimization with a bayesian-Evolutionary algorithm26
An efficient scheduling approach for an iron-steel plant equipped with self-generation equipment under time-of-use electricity tariffs26
Utilizing dependence among variables in evolutionary algorithms for mixed-integer programming: A case study on multi-objective constrained portfolio optimization25
A comprehensive survey on cultural algorithms25
A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems25
Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution25
An interactive filter-wrapper multi-objective evolutionary algorithm for feature selection25
Multi-population meta-heuristics for production scheduling: A survey24
Solving hybrid charging strategy electric vehicle based dynamic routing problem via evolutionary multi-objective optimization24
A dynamic multi-objective optimization evolutionary algorithm based on particle swarm prediction strategy and prediction adjustment strategy24
Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems24
Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey24
A niching backtracking search algorithm with adaptive local search for multimodal multiobjective optimization24
MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands24
An enhanced teaching-learning-based optimization algorithm with self-adaptive and learning operators and its search bias towards origin24
Deep reinforcement learning assisted co-evolutionary differential evolution for constrained optimization23
A Fast and efficient stochastic opposition-based learning for differential evolution in numerical optimization23
Improved ant colony optimization for the vehicle routing problem with split pickup and split delivery23
Reinforcement learning-based particle swarm optimization with neighborhood differential mutation strategy22
Function value ranking aware differential evolution for global numerical optimization22
Harmony search algorithm and related variants: A systematic review22
A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion22
Stable switched controllers for a swarm of UGVs for hierarchal landmark navigation22
Dynamic impact for ant colony optimization algorithm22
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning22
Evolutionary Algorithm with Dynamic Population Size for Constrained Multiobjective Optimization21
New insights into position optimisation of wave energy converters using hybrid local search21
Hierarchical structure-based joint operations algorithm for global optimization21
An efficient hybrid metaheuristics optimization technique applied to the AC electric transmission network expansion planning21
An optima-identified framework with brain storm optimization for multimodal optimization problems20
Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization20
Benefits of sparse population sampling in multi-objective evolutionary computing for large-Scale sparse optimization problems20
Micro-Genetic algorithm with fuzzy selection of operators for multi-Objective optimization: μFAME20
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times20
A network memetic algorithm for energy and labor-aware distributed heterogeneous hybrid flow shop scheduling problem20
Multiobjective trajectory optimization with a cutting and padding encoding strategy for single-UAV-assisted mobile edge computing system20
A Convolutional Neural Network-Based Surrogate Model for Multi-objective Optimization Evolutionary Algorithm Based on Decomposition19
Semantic approximation for reducing code bloat in Genetic Programming19
Explicit and size-adaptive PSO-based feature selection for classification19
A partition-based constrained multi-objective evolutionary algorithm19
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems19
Multi-objective self-organizing optimization for constrained sparse array synthesis19
Integration routing and scheduling for multiple home health care centers using a multi-objective cooperation evolutionary algorithm with stochastic simulation19
A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts19
Deep reinforcement learning method for satellite range scheduling problem19
Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques19
A new genetic algorithm based evolutionary neural architecture search for image classification19
Evolutionary multi-task allocation for mobile crowdsensing with limited resource19
A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems19
Unified integration of many-objective optimization algorithm based on temporary offspring for software defects prediction18
A genetic algorithm inspired optimized cluster head selection method in wireless sensor networks18
A decomposition-based many-objective ant colony optimization algorithm with adaptive solution construction and selection approaches18
Incorporating Surprisingly Popular Algorithm and Euclidean distance-based adaptive topology into PSO18
Differential evolution with hybrid parameters and mutation strategies based on reinforcement learning18
A decomposition-based multiobjective evolutionary algorithm with weight vector adaptation18
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization17
Scale-free network-based differential evolution to solve function optimization and parameter estimation of photovoltaic models17
A two-phase evolutionary algorithm for multi-objective distributed assembly permutation flowshop scheduling problem17
One-to-one ensemble mechanism for decomposition-based multi-Objective optimization17
Hybrid collaborative multi-objective fruit fly optimization algorithm for scheduling workflow in cloud environment17
ACDB-EA: Adaptive convergence-diversity balanced evolutionary algorithm for many-objective optimization17
A dynamic multi-objective optimization based on a hybrid of pivot points prediction and diversity strategies17
A constrained multi-objective evolutionary algorithm using valuable infeasible solutions17
A novel hybrid particle swarm optimization with marine predators17
Two-objective robust job-shop scheduling with two problem-specific neighborhood structures16
Preference incorporation into many-objective optimization: An Ant colony algorithm based on interval outranking16
Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm16
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems16
Integrated optimization of real-time order acceptance and flexible job-shop rescheduling with multi-level imperfect maintenance constraints16
A surrogate-assisted evolutionary algorithm for expensive many-objective optimization in the refining process16
PSO based data clustering with a different perception16
A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones16
Memetic algorithm based on learning and decomposition for multiobjective flexible job shop scheduling considering human factors16
Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization16
Meta-heuristic Techniques in Microgrid Management: A Survey16
A cluster-based genetic optimization method for satellite range scheduling system15
Application of metaheuristics for signal optimisation in transportation networks: A comprehensive survey15
Modeling and designing a robotic swarm: A quantum computing approach15
Solve large‐scale many‐objective optimization problems based on dual analysis of objective space and decision space15
Genetic-based optimization in fog computing: Current trends and research opportunities15
COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems15
Constrained multimodal multi-objective optimization: Test problem construction and algorithm design15
An opposition equilibrium optimizer for context-sensitive entropy dependency based multilevel thresholding of remote sensing images15
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities14
A level-based multi-strategy learning swarm optimizer for large-Scale multi-objective optimization14
Adaptive surrogate-assisted multi-objective evolutionary algorithm using an efficient infill technique14
Visualization and analysis of Pareto-optimal fronts using interpretable self-organizing map (iSOM)14
PS-Tree: A piecewise symbolic regression tree14
History archive assisted niching differential evolution with variable neighborhood for multimodal optimization14
Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop14
An archive-based two-stage evolutionary algorithm for constrained multi-objective optimization problems14
A parallel heuristic for hybrid job shop scheduling problem considering conflict-free AGV routing14
Efficient evolutionary neural architecture search by modular inheritable crossover14
A discrete artificial bee colony method based on variable neighborhood structures for the distributed permutation flowshop problem with sequence-dependent setup times14
A surrogate-assisted hybrid swarm optimization algorithm for high-dimensional computationally expensive problems14
A dual-population evolutionary algorithm based on adaptive constraint strength for constrained multi-objective optimization14
Multi-objective planning of electric vehicles charging in distribution system considering priority-based vehicle-to-grid scheduling13
Many‐objective optimization by using an immune algorithm13
A many-objective evolutionary algorithm based on constraints for collaborative computation offloading13
A self‐organizing weighted optimization based framework for large‐scale multi‐objective optimization13
A two-stage adaptive reference direction guided evolutionary algorithm with modified dominance relation for many-objective optimization13
Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection13
A scalability study of the multi-guide particle swarm optimization algorithm to many-objectives13
A novel adaptive algorithm of particle swarm optimization based on the human social learning intelligence13
Minimizing the sum of makespan on multi-agent single-machine scheduling with release dates13
A novel adaptive greedy strategy based on Gaussian mixture clustering for multiobjective optimization13
Quantum circuit compilation by genetic algorithm for quantum approximate optimization algorithm applied to MaxCut problem13
Frontier-led swarming: Robust multi-robot coverage of unknown environments13
W-dominance: Tradeoff-inspired dominance relation for preference-based evolutionary multi-objective optimization13
Finding all Pareto optimal paths by simulating ripple relay race in multi-objective networks13
A Two-stage Surrogate-Assisted Evolutionary Algorithm (TS-SAEA) for Expensive Multi/Many-objective Optimization13
Tensor factorization-based particle swarm optimization for large-scale many-objective problems13
Random convergence analysis of particle swarm optimization algorithm with time‐varying attractor13
Using decomposition-based multi-objective evolutionary algorithm as synthetic example optimization for self-labeling12
An alternative way of evolutionary multimodal optimization: density-based population initialization strategy12
Hierarchical preference algorithm based on decomposition multiobjective optimization12
An aRBF surrogate-assisted neighborhood field optimizer for expensive problems12
MjSO: A modified differential evolution with a probability selection mechanism and a directed mutation strategy12
Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty12
A GPU-based hybrid jDE algorithm applied to the 3D-AB protein structure prediction12
Multi-objective optimization of a quadrotor flock performing target zone search12
A constrained multi-objective evolutionary algorithm based on decomposition with improved constrained dominance principle12
Solving electric vehicle–drone routing problem using memetic algorithm12
Multi-strategy dynamic multi-objective evolutionary algorithm with hybrid environmental change responses12
A new prediction strategy combining T-S fuzzy nonlinear regression prediction and multi-step prediction for dynamic multi-objective optimization12
APSM-jSO: A novel jSO variant with an adaptive parameter selection mechanism and a new external archive updating mechanism12
Offline data‐driven evolutionary optimization based on model selection12
Non-revisiting stochastic search revisited: Results, perspectives, and future directions12
A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization12
Automatic collective motion tuning using actor-critic deep reinforcement learning11
Deterministic scaffold assembly by self-reconfiguring micro-robotic swarms11
Multi-Objective parameter-less population pyramid for solving industrial process planning problems11
A neighborhood comprehensive learning particle swarm optimization for the vehicle routing problem with time windows11
Variable neighborhood search for a new practical dynamic pickup and delivery problem11
Multi-operator continuous ant colony optimisation for real world problems11
A cooperative coevolution framework for evolutionary learning and instance selection11
Diversity preference-based many-objective particle swarm optimization using reference-lines-based framework11
Island neighboring heuristics harmony search algorithm for flow shop scheduling with blocking11
Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests11
Preference incorporation in MOEA/D using an outranking approach with imprecise model parameters11
Integration of machine learning prediction and heuristic optimization for mask delivery in COVID-1911
Multi-objective evolutionary algorithm based on decomposition with an external archive and local-neighborhood based adaptation of weights11
A many-objective optimization algorithm with mutation strategy based on variable classification and elite individual11
Simple-Encoded evolving convolutional neural network and its application to skin disease image classification11
Decentralised aerial swarm for adaptive and energy efficient transport of unknown loads11
Memetic coral reefs optimization algorithms for optimal geometrical design of submerged arches10
A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization10
Adaptive operator selection with test-and-apply structure for decomposition-based multi-objective optimization10
Triple competitive differential evolution for global numerical optimization10
Real-time collaborative feeder vehicle routing problem with flexible time windows10
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization10
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