Swarm and Evolutionary Computation

Papers
(The TQCC of Swarm and Evolutionary Computation is 15. 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
Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends201
A particle swarm optimization algorithm for mixed-variable optimization problems201
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
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times70
Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection70
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem69
A Diffused Memetic Optimizer for reactive berth allocation and scheduling at marine container terminals in response to disruptions69
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
An evolutionary multi-objective optimization framework of discretization-based feature selection for classification55
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
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
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time51
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
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
A survey on population-based meta-heuristic algorithms for motion planning of aircraft47
Boosting particle swarm optimization by backtracking search algorithm for optimization problems47
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems46
Self adaptive cuckoo search: Analysis and experimentation45
Multimodal multi-objective optimization: Comparative study of the state-of-the-art45
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
Balanced multi-objective optimization algorithm using improvement based reference points approach41
A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization41
RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem40
Multi-objective Q-learning-based hyper-heuristic with Bi-criteria selection for energy-aware mixed shop scheduling39
A population perturbation and elimination strategy based genetic algorithm for multi-satellite TT&C scheduling problem39
Elite archives-driven particle swarm optimization for large scale numerical optimization and its engineering applications38
Adaptive differential evolution with ensembling operators for continuous optimization problems38
Offline data-driven evolutionary optimization based on tri-training37
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
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
Genetic programming with local search to evolve priority rules for scheduling jobs on a machine with time-varying capacity34
Decomposition in decision and objective space for multi-modal multi-objective optimization34
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems33
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
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
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
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
Enhanced multi-swarm cooperative particle swarm optimizer29
A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution29
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
Two-level parameter cooperation-based population regeneration framework for differential evolution28
Energy trading IoT system based on blockchain28
Proximity ranking-based multimodal differential evolution27
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
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
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
Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution25
An interactive filter-wrapper multi-objective evolutionary algorithm for feature selection25
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
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
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 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
Deep reinforcement learning assisted co-evolutionary differential evolution for constrained optimization23
Dynamic impact for ant colony optimization algorithm22
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning22
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
Hierarchical structure-based joint operations algorithm for global optimization21
An efficient hybrid metaheuristics optimization technique applied to the AC electric transmission network expansion planning21
Evolutionary Algorithm with Dynamic Population Size for Constrained Multiobjective Optimization21
New insights into position optimisation of wave energy converters using hybrid local search21
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
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
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
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
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
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
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
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
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
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
COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems15
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
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
Modeling and designing a robotic swarm: A quantum computing approach15
A cluster-based genetic optimization method for satellite range scheduling system15
Application of metaheuristics for signal optimisation in transportation networks: A comprehensive survey15
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