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 2020-04-01 to 2024-04-01.)
ArticleCitations
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review324
A survey on swarm intelligence approaches to feature selection in data mining230
A test-suite of non-convex constrained optimization problems from the real-world and some baseline results230
Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application218
A particle swarm optimization algorithm for mixed-variable optimization problems180
Population size in Particle Swarm Optimization178
A better balance in metaheuristic algorithms: Does it exist?171
Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends168
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems157
An improved genetic algorithm for the flexible job shop scheduling problem with multiple time constraints108
Coverage path planning of heterogeneous unmanned aerial vehicles based on ant colony system106
Quantum-enhanced multiobjective large-scale optimization via parallelism98
A memetic algorithm based on two_Arch2 for multi-depot heterogeneous-vehicle capacitated arc routing problem96
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times94
A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results90
GAPSO-H: A hybrid approach towards optimizing the cluster based routing in wireless sensor network90
Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends89
Differential evolution using improved crowding distance for multimodal multiobjective optimization89
A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing80
Hybrid MPSO-CNN: Multi-level Particle Swarm optimized hyperparameters of Convolutional Neural Network78
Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm77
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms76
A distributed heterogeneous permutation flowshop scheduling problem with lot-streaming and carryover sequence-dependent setup time75
Multi-objective particle swarm optimization with adaptive strategies for feature selection74
A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems73
Multiple adaptive strategies based particle swarm optimization algorithm70
A novel stochastic fractal search algorithm with fitness-Distance balance for global numerical optimization65
Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D65
A novel hybrid grey wolf optimizer with min-conflict algorithm for power scheduling problem in a smart home64
Grid search based multi-population particle swarm optimization algorithm for multimodal multi-objective optimization64
An augmented Tabu search algorithm for the green inventory-routing problem with time windows62
An Improved Ant Colony Optimization algorithm to the Periodic Vehicle Routing Problem with Time Window and Service Choice61
Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition58
Evolutionary many-Objective algorithm based on fractional dominance relation and improved objective space decomposition strategy55
Gene selection for cancer types classification using novel hybrid metaheuristics approach55
Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection55
Differential evolution algorithm with fitness and diversity ranking-based mutation operator55
A hybrid estimation of distribution algorithm for distributed flexible job shop scheduling with crane transportations54
An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization54
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times54
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem54
Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm53
Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems52
A random dynamic grouping based weight optimization framework for large-scale multi-objective optimization problems50
A genetic programming hyper-heuristic for the distributed assembly permutation flow-shop scheduling problem with sequence dependent setup times50
Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization49
A two-stage solution method based on NSGA-II for Green Multi-Objective integrated process planning and scheduling in a battery packaging machinery workshop47
Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem47
A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization45
A study of ant-based pheromone spaces for generation constructive hyper-heuristics44
A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem44
Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms43
An improved simulated annealing algorithm with crossover operator for capacitated vehicle routing problem43
An evolutionary multi-objective optimization framework of discretization-based feature selection for classification43
A Diffused Memetic Optimizer for reactive berth allocation and scheduling at marine container terminals in response to disruptions42
Novel binary differential evolution algorithm based on Taper-shaped transfer functions for binary optimization problems42
Adaptive simulated binary crossover for rotated multi-objective optimization42
Evolution strategies for continuous optimization: A survey of the state-of-the-art41
Self adaptive cuckoo search: Analysis and experimentation41
Push and pull search embedded in an M2M framework for solving constrained multi-objective optimization problems40
A grey prediction-based evolutionary algorithm for dynamic multiobjective optimization39
A survey on population-based meta-heuristic algorithms for motion planning of aircraft39
SF-FWA: A Self-Adaptive Fast Fireworks Algorithm for effective large-scale optimization37
Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times37
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems37
A firefly algorithm for the environmental prize-collecting vehicle routing problem36
A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization36
A decomposition-based many-objective evolutionary algorithm updating weights when required35
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time35
Differential evolution with orthogonal array‐based initialization and a novel selection strategy34
Balanced multi-objective optimization algorithm using improvement based reference points approach34
Hyper-Heuristics to customise metaheuristics for continuous optimisation34
A multi-objective genetic algorithm based approach for dynamical bus vehicles scheduling under traffic congestion33
Offline data-driven evolutionary optimization based on tri-training33
An efficient hybrid metaheuristic algorithm for cardinality constrained portfolio optimization33
Multi-objective Q-learning-based hyper-heuristic with Bi-criteria selection for energy-aware mixed shop scheduling31
A population perturbation and elimination strategy based genetic algorithm for multi-satellite TT&C scheduling problem31
Adaptive differential evolution with ensembling operators for continuous optimization problems30
An Adaptive Memetic Approach for Heterogeneous Vehicle Routing Problems with two-dimensional loading constraints30
Balanced crossover operators in Genetic Algorithms30
Decomposition in decision and objective space for multi-modal multi-objective optimization29
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems29
Multimodal multi-objective optimization: Comparative study of the state-of-the-art29
Several variants of simulated annealing hyper-heuristic for a single-machine scheduling with two-scenario-based dependent processing times28
Variation Operators for Grouping Genetic Algorithms: A Review27
A multi-strategy integrated multi-objective artificial bee colony for unsupervised band selection of hyperspectral images27
Induction of decision trees as classification models through metaheuristics27
Genetic programming with local search to evolve priority rules for scheduling jobs on a machine with time-varying capacity27
Two infill criteria driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems with medium dimensions27
A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions27
Memetic search for vehicle routing with simultaneous pickup-delivery and time windows26
Impact of population topology on particle swarm optimization and its variants: An information propagation perspective26
A systematic literature review on general parameter control for evolutionary and swarm-based algorithms26
Adaptive Ant Colony Optimization with node clustering applied to the Travelling Salesman Problem25
An effective two-stage iterated greedy algorithm to minimize total tardiness for the distributed flowshop group scheduling problem25
Many-objective optimization for scheduling of crude oil operations based on NSGA-Ⅲ with consideration of energy efficiency25
An improved multi-objective multifactorial evolutionary algorithm for assembly line balancing problem considering regular production and preventive maintenance scenarios25
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization25
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems25
Enhanced multi-swarm cooperative particle swarm optimizer24
Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption24
Multi-population meta-heuristics for production scheduling: A survey23
An efficient scheduling approach for an iron-steel plant equipped with self-generation equipment under time-of-use electricity tariffs23
Energy trading IoT system based on blockchain23
Evolutionary LSTM-FCN networks for pattern classification in industrial processes23
Two-level parameter cooperation-based population regeneration framework for differential evolution23
A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution23
An enhanced teaching-learning-based optimization algorithm with self-adaptive and learning operators and its search bias towards origin23
Solving mixed Pareto-Lexicographic multi-objective optimization problems: The case of priority chains22
Multiobjective evolutionary algorithm assisted stacked autoencoder for PolSAR image classification22
Multi-objective differential evolution algorithm with fuzzy inference-based adaptive mutation factor for Pareto optimum design of suspension system22
Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution22
A niching backtracking search algorithm with adaptive local search for multimodal multiobjective optimization22
An algebraic framework for swarm and evolutionary algorithms in combinatorial optimization22
Utilizing dependence among variables in evolutionary algorithms for mixed-integer programming: A case study on multi-objective constrained portfolio optimization21
An analysis of the search mechanisms of the bees algorithm21
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network21
Optimization techniques and applications in fog computing: An exhaustive survey21
Moving peak drone search problem: An online multi-swarm intelligence approach for UAV search operations21
MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands21
Stable switched controllers for a swarm of UGVs for hierarchal landmark navigation21
Multi-objective based scheduling algorithm for sudden drinking water contamination incident21
A comparative study of high-productivity high-performance programming languages for parallel metaheuristics21
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing21
Proximity ranking-based multimodal differential evolution21
RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem20
Self-organizing neighborhood-based differential evolution for global optimization20
A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion20
A Fast and efficient stochastic opposition-based learning for differential evolution in numerical optimization20
Elite archives-driven particle swarm optimization for large scale numerical optimization and its engineering applications20
Clearing-based multimodal multi-objective evolutionary optimization with layer-to-layer strategy20
Multi-agent coalition formation by an efficient genetic algorithm with heuristic initialization and repair strategy20
A comprehensive survey on cultural algorithms19
Adaptive gradient descent enabled ant colony optimization for routing problems19
Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey19
Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization19
An optima-identified framework with brain storm optimization for multimodal optimization problems18
Time efficiency in optimization with a bayesian-Evolutionary algorithm18
Solving hybrid charging strategy electric vehicle based dynamic routing problem via evolutionary multi-objective optimization18
Multi-objective self-organizing optimization for constrained sparse array synthesis18
An interactive filter-wrapper multi-objective evolutionary algorithm for feature selection18
A decomposition-based many-objective ant colony optimization algorithm with adaptive solution construction and selection approaches17
Function value ranking aware differential evolution for global numerical optimization17
A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem17
Autonomous detection of collective behaviours in swarms17
Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO17
Unified integration of many-objective optimization algorithm based on temporary offspring for software defects prediction17
New insights into position optimisation of wave energy converters using hybrid local search17
A dynamic multi-objective optimization evolutionary algorithm based on particle swarm prediction strategy and prediction adjustment strategy17
Using evolutionary computation to infer the decision maker’s preference model in presence of imperfect knowledge: A case study in portfolio optimization16
One-to-one ensemble mechanism for decomposition-based multi-Objective optimization16
Boosting particle swarm optimization by backtracking search algorithm for optimization problems16
Unified space approach-based Dynamic Switched Crowding (DSC): A new method for designing Pareto-based multi/many-objective algorithms16
An enhanced-indicator based many-objective evolutionary algorithm with adaptive reference point16
Benefits of sparse population sampling in multi-objective evolutionary computing for large-Scale sparse optimization problems16
Dynamic impact for ant colony optimization algorithm16
Micro-Genetic algorithm with fuzzy selection of operators for multi-Objective optimization: μFAME16
Handling multi-objective optimization problems with unbalanced constraints and their effects on evolutionary algorithm performance15
Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization15
A partition-based constrained multi-objective evolutionary algorithm15
A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems15
Improved ant colony optimization for the vehicle routing problem with split pickup and split delivery15
Semantic approximation for reducing code bloat in Genetic Programming15
Adaptive Global WASF-GA to handle many-objective optimization problems15
Hierarchical structure-based joint operations algorithm for global optimization15
A novel multi-objective genetic algorithm based error correcting output codes15
An efficient hybrid metaheuristics optimization technique applied to the AC electric transmission network expansion planning15
Evolutionary multi-task allocation for mobile crowdsensing with limited resource14
Comparative study of nature-inspired algorithms to design (1+α) and (2+α)-order filters using a frequency-domain approach14
An opposition equilibrium optimizer for context-sensitive entropy dependency based multilevel thresholding of remote sensing images14
A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems14
Preference incorporation into many-objective optimization: An Ant colony algorithm based on interval outranking14
A decomposition-based multiobjective evolutionary algorithm with weight vector adaptation14
Heuristics and metaheuristics for the mixed no-idle flowshop with sequence-dependent setup times and total tardiness minimisation14
Solving dynamic overlapping community detection problem by a multiobjective evolutionary algorithm based on decomposition14
A novel multi-objective Interactive Coral Reefs Optimization algorithm for the Unequal Area Facility Layout Problem14
Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm14
A Convolutional Neural Network-Based Surrogate Model for Multi-objective Optimization Evolutionary Algorithm Based on Decomposition14
Hybrid collaborative multi-objective fruit fly optimization algorithm for scheduling workflow in cloud environment14
Scale-free network-based differential evolution to solve function optimization and parameter estimation of photovoltaic models13
A perturbation adaptive pursuit strategy based hyper-heuristic for multi-objective optimization problems13
Multiobjective trajectory optimization with a cutting and padding encoding strategy for single-UAV-assisted mobile edge computing system13
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems13
Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques13
Efficient parallel and fast convergence chaotic Jaya algorithms13
A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts13
History archive assisted niching differential evolution with variable neighborhood for multimodal optimization13
A multi-population memetic algorithm for the 3-D protein structure prediction problem13
Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems13
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning13
A network memetic algorithm for energy and labor-aware distributed heterogeneous hybrid flow shop scheduling problem12
A discrete artificial bee colony method based on variable neighborhood structures for the distributed permutation flowshop problem with sequence-dependent setup times12
W-dominance: Tradeoff-inspired dominance relation for preference-based evolutionary multi-objective optimization12
Incorporating Surprisingly Popular Algorithm and Euclidean distance-based adaptive topology into PSO12
Frontier-led swarming: Robust multi-robot coverage of unknown environments12
A scalability study of the multi-guide particle swarm optimization algorithm to many-objectives12
Selective-candidate framework with similarity selection rule for evolutionary optimization12
Differential evolution with hybrid parameters and mutation strategies based on reinforcement learning12
Memetic algorithm based on learning and decomposition for multiobjective flexible job shop scheduling considering human factors12
A two-phase evolutionary algorithm for multi-objective distributed assembly permutation flowshop scheduling problem12
PSO based data clustering with a different perception12
Using decomposition-based multi-objective evolutionary algorithm as synthetic example optimization for self-labeling11
Quantum circuit compilation by genetic algorithm for quantum approximate optimization algorithm applied to MaxCut problem11
An alternative way of evolutionary multimodal optimization: density-based population initialization strategy11
Evolutionary Algorithm with Dynamic Population Size for Constrained Multiobjective Optimization11
Automatic collective motion tuning using actor-critic deep reinforcement learning11
ACDB-EA: Adaptive convergence-diversity balanced evolutionary algorithm for many-objective optimization11
Differential evolution for the optimization of low-discrepancy generalized Halton sequences11
A novel adaptive greedy strategy based on Gaussian mixture clustering for multiobjective optimization11
A constrained multi-objective evolutionary algorithm using valuable infeasible solutions11
Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection11
Configuring differential evolution adaptively via path search in a directed acyclic graph for data clustering11
A surrogate-assisted evolutionary algorithm for expensive many-objective optimization in the refining process11
Explicit and size-adaptive PSO-based feature selection for classification11
Finding all Pareto optimal paths by simulating ripple relay race in multi-objective networks11
A rotationally invariant semi-autonomous particle swarm optimizer with directional diversity11
Random convergence analysis of particle swarm optimization algorithm with time‐varying attractor11
Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems11
Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods11
A new genetic algorithm based evolutionary neural architecture search for image classification11
Many‐objective optimization by using an immune algorithm11
COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems11
Non-revisiting stochastic search revisited: Results, perspectives, and future directions11
A cluster-based genetic optimization method for satellite range scheduling system11
Reinforcement learning-based particle swarm optimization with neighborhood differential mutation strategy10
Application of metaheuristics for signal optimisation in transportation networks: A comprehensive survey10
Parallel execution combinatorics with metaheuristics: Comparative study10
Deterministic scaffold assembly by self-reconfiguring micro-robotic swarms10
Harmony search algorithm and related variants: A systematic review10
Simple-Encoded evolving convolutional neural network and its application to skin disease image classification10
A new prediction strategy combining T-S fuzzy nonlinear regression prediction and multi-step prediction for dynamic multi-objective optimization10
Hierarchical preference algorithm based on decomposition multiobjective optimization10
Adaptive surrogate-assisted multi-objective evolutionary algorithm using an efficient infill technique10
Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty10
Deep reinforcement learning method for satellite range scheduling problem10
Integrated optimization of real-time order acceptance and flexible job-shop rescheduling with multi-level imperfect maintenance constraints10
Multi-objective optimization of a quadrotor flock performing target zone search10
Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization10
Offline data‐driven evolutionary optimization based on model selection10
Real-time collaborative feeder vehicle routing problem with flexible time windows9
A many-objective evolutionary algorithm based on constraints for collaborative computation offloading9
A many-objective optimization algorithm with mutation strategy based on variable classification and elite individual9
Memetic coral reefs optimization algorithms for optimal geometrical design of submerged arches9
Spark implementation of the enhanced Scatter Search metaheuristic: Methodology and assessment9
Minimizing the sum of makespan on multi-agent single-machine scheduling with release dates9
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach9
A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization9
A cooperative coevolution framework for evolutionary learning and instance selection9
Multi-Objective parameter-less population pyramid for solving industrial process planning problems9
Diversity preference-based many-objective particle swarm optimization using reference-lines-based framework9
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