Swarm and Evolutionary Computation

Article	Citations
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review	331
A test-suite of non-convex constrained optimization problems from the real-world and some baseline results	239
A survey on swarm intelligence approaches to feature selection in data mining	236
Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application	223
A particle swarm optimization algorithm for mixed-variable optimization problems	184
Population size in Particle Swarm Optimization	180
A better balance in metaheuristic algorithms: Does it exist?	178
Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends	171
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems	163
An improved genetic algorithm for the flexible job shop scheduling problem with multiple time constraints	113
Coverage path planning of heterogeneous unmanned aerial vehicles based on ant colony system	111
Quantum-enhanced multiobjective large-scale optimization via parallelism	98
A memetic algorithm based on two_Arch2 for multi-depot heterogeneous-vehicle capacitated arc routing problem	96
A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results	94
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times	94
Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends	93
Differential evolution using improved crowding distance for multimodal multiobjective optimization	92
GAPSO-H: A hybrid approach towards optimizing the cluster based routing in wireless sensor network	90
Hybrid MPSO-CNN: Multi-level Particle Swarm optimized hyperparameters of Convolutional Neural Network	82
A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing	82
Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm	80
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms	79
A distributed heterogeneous permutation flowshop scheduling problem with lot-streaming and carryover sequence-dependent setup time	77
A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems	76
Multi-objective particle swarm optimization with adaptive strategies for feature selection	74

Multiple adaptive strategies based particle swarm optimization algorithm	73
A novel stochastic fractal search algorithm with fitness-Distance balance for global numerical optimization	69
Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D	68
Grid search based multi-population particle swarm optimization algorithm for multimodal multi-objective optimization	67
A novel hybrid grey wolf optimizer with min-conflict algorithm for power scheduling problem in a smart home	65
An augmented Tabu search algorithm for the green inventory-routing problem with time windows	64
An Improved Ant Colony Optimization algorithm to the Periodic Vehicle Routing Problem with Time Window and Service Choice	62
Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition	60
Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection	60
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times	59
A hybrid estimation of distribution algorithm for distributed flexible job shop scheduling with crane transportations	58
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem	58
Evolutionary many-Objective algorithm based on fractional dominance relation and improved objective space decomposition strategy	57
Differential evolution algorithm with fitness and diversity ranking-based mutation operator	56
Gene selection for cancer types classification using novel hybrid metaheuristics approach	55
Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm	55
An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization	54
Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems	53
A genetic programming hyper-heuristic for the distributed assembly permutation flow-shop scheduling problem with sequence dependent setup times	51
Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization	51
A random dynamic grouping based weight optimization framework for large-scale multi-objective optimization problems	50
Novel binary differential evolution algorithm based on Taper-shaped transfer functions for binary optimization problems	49
Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem	49
A two-stage solution method based on NSGA-II for Green Multi-Objective integrated process planning and scheduling in a battery packaging machinery workshop	48
A study of ant-based pheromone spaces for generation constructive hyper-heuristics	47
An improved simulated annealing algorithm with crossover operator for capacitated vehicle routing problem	45
Adaptive simulated binary crossover for rotated multi-objective optimization	45
A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization	45
A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem	45
Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms	44
A Diffused Memetic Optimizer for reactive berth allocation and scheduling at marine container terminals in response to disruptions	44
An evolutionary multi-objective optimization framework of discretization-based feature selection for classification	43
SF-FWA: A Self-Adaptive Fast Fireworks Algorithm for effective large-scale optimization	42
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems	42
Evolution strategies for continuous optimization: A survey of the state-of-the-art	42
Self adaptive cuckoo search: Analysis and experimentation	41
A decomposition-based many-objective evolutionary algorithm updating weights when required	41
Push and pull search embedded in an M2M framework for solving constrained multi-objective optimization problems	40
A survey on population-based meta-heuristic algorithms for motion planning of aircraft	40
A grey prediction-based evolutionary algorithm for dynamic multiobjective optimization	39
Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times	38
A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization	37
A firefly algorithm for the environmental prize-collecting vehicle routing problem	37
Balanced multi-objective optimization algorithm using improvement based reference points approach	37
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	35
Differential evolution with orthogonal array‐based initialization and a novel selection strategy	35
Hyper-Heuristics to customise metaheuristics for continuous optimisation	35
Offline data-driven evolutionary optimization based on tri-training	34
A multi-objective genetic algorithm based approach for dynamical bus vehicles scheduling under traffic congestion	34
Balanced crossover operators in Genetic Algorithms	33

An efficient hybrid metaheuristic algorithm for cardinality constrained portfolio optimization	33
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems	33
Multi-objective Q-learning-based hyper-heuristic with Bi-criteria selection for energy-aware mixed shop scheduling	32
A population perturbation and elimination strategy based genetic algorithm for multi-satellite TT&C scheduling problem	31
Multimodal multi-objective optimization: Comparative study of the state-of-the-art	31
Adaptive differential evolution with ensembling operators for continuous optimization problems	31
An Adaptive Memetic Approach for Heterogeneous Vehicle Routing Problems with two-dimensional loading constraints	30
Induction of decision trees as classification models through metaheuristics	29
Decomposition in decision and objective space for multi-modal multi-objective optimization	29
Several variants of simulated annealing hyper-heuristic for a single-machine scheduling with two-scenario-based dependent processing times	29
A systematic literature review on general parameter control for evolutionary and swarm-based algorithms	28
Many-objective optimization for scheduling of crude oil operations based on NSGA-Ⅲ with consideration of energy efficiency	28
A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions	28
Genetic programming with local search to evolve priority rules for scheduling jobs on a machine with time-varying capacity	27
A multi-strategy integrated multi-objective artificial bee colony for unsupervised band selection of hyperspectral images	27
Two infill criteria driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems with medium dimensions	27
Variation Operators for Grouping Genetic Algorithms: A Review	27
Memetic search for vehicle routing with simultaneous pickup-delivery and time windows	26
An improved multi-objective multifactorial evolutionary algorithm for assembly line balancing problem considering regular production and preventive maintenance scenarios	26
Impact of population topology on particle swarm optimization and its variants: An information propagation perspective	26
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization	26
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems	26
Adaptive Ant Colony Optimization with node clustering applied to the Travelling Salesman Problem	25
An effective two-stage iterated greedy algorithm to minimize total tardiness for the distributed flowshop group scheduling problem	25
Enhanced multi-swarm cooperative particle swarm optimizer	24
An efficient scheduling approach for an iron-steel plant equipped with self-generation equipment under time-of-use electricity tariffs	24
Multiobjective evolutionary algorithm assisted stacked autoencoder for PolSAR image classification	24
Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption	24
Evolutionary LSTM-FCN networks for pattern classification in industrial processes	24
Elite archives-driven particle swarm optimization for large scale numerical optimization and its engineering applications	24
Two-level parameter cooperation-based population regeneration framework for differential evolution	24
A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution	24
MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands	24
Energy trading IoT system based on blockchain	23
Moving peak drone search problem: An online multi-swarm intelligence approach for UAV search operations	23
An enhanced teaching-learning-based optimization algorithm with self-adaptive and learning operators and its search bias towards origin	23
A niching backtracking search algorithm with adaptive local search for multimodal multiobjective optimization	23
RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem	23
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network	23
Optimization techniques and applications in fog computing: An exhaustive survey	23
Clearing-based multimodal multi-objective evolutionary optimization with layer-to-layer strategy	23
Multi-population meta-heuristics for production scheduling: A survey	23
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing	23
Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution	22
Utilizing dependence among variables in evolutionary algorithms for mixed-integer programming: A case study on multi-objective constrained portfolio optimization	22
Proximity ranking-based multimodal differential evolution	22
Solving mixed Pareto-Lexicographic multi-objective optimization problems: The case of priority chains	22
An algebraic framework for swarm and evolutionary algorithms in combinatorial optimization	22
Multi-objective differential evolution algorithm with fuzzy inference-based adaptive mutation factor for Pareto optimum design of suspension system	22
Stable switched controllers for a swarm of UGVs for hierarchal landmark navigation	22
An analysis of the search mechanisms of the bees algorithm	21
A comparative study of high-productivity high-performance programming languages for parallel metaheuristics	21
Multi-objective based scheduling algorithm for sudden drinking water contamination incident	21
Boosting particle swarm optimization by backtracking search algorithm for optimization problems	21
A dynamic multi-objective optimization evolutionary algorithm based on particle swarm prediction strategy and prediction adjustment strategy	20
Multi-agent coalition formation by an efficient genetic algorithm with heuristic initialization and repair strategy	20
Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization	20
A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion	20
Self-organizing neighborhood-based differential evolution for global optimization	20
A Fast and efficient stochastic opposition-based learning for differential evolution in numerical optimization	20
Time efficiency in optimization with a bayesian-Evolutionary algorithm	19
Adaptive gradient descent enabled ant colony optimization for routing problems	19
A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem	19
Multiobjective trajectory optimization with a cutting and padding encoding strategy for single-UAV-assisted mobile edge computing system	19
A comprehensive survey on cultural algorithms	19
Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey	19
An optima-identified framework with brain storm optimization for multimodal optimization problems	18
Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO	18
Hierarchical structure-based joint operations algorithm for global optimization	18
An interactive filter-wrapper multi-objective evolutionary algorithm for feature selection	18
Unified integration of many-objective optimization algorithm based on temporary offspring for software defects prediction	18
Solving hybrid charging strategy electric vehicle based dynamic routing problem via evolutionary multi-objective optimization	18
A decomposition-based many-objective ant colony optimization algorithm with adaptive solution construction and selection approaches	17
Function value ranking aware differential evolution for global numerical optimization	17
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning	17
Using evolutionary computation to infer the decision maker’s preference model in presence of imperfect knowledge: A case study in portfolio optimization	17
Multi-objective self-organizing optimization for constrained sparse array synthesis	17
New insights into position optimisation of wave energy converters using hybrid local search	17
Unified space approach-based Dynamic Switched Crowding (DSC): A new method for designing Pareto-based multi/many-objective algorithms	17
Autonomous detection of collective behaviours in swarms	17

Evolutionary multi-task allocation for mobile crowdsensing with limited resource	17
An enhanced-indicator based many-objective evolutionary algorithm with adaptive reference point	16
Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization	16
An efficient hybrid metaheuristics optimization technique applied to the AC electric transmission network expansion planning	16
Benefits of sparse population sampling in multi-objective evolutionary computing for large-Scale sparse optimization problems	16
Dynamic impact for ant colony optimization algorithm	16
Adaptive Global WASF-GA to handle many-objective optimization problems	16
A network memetic algorithm for energy and labor-aware distributed heterogeneous hybrid flow shop scheduling problem	16
One-to-one ensemble mechanism for decomposition-based multi-Objective optimization	16
Micro-Genetic algorithm with fuzzy selection of operators for multi-Objective optimization: μFAME	16
A partition-based constrained multi-objective evolutionary algorithm	16
A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems	16