Swarm and Evolutionary Computation

Article	Citations
Energy-efficient task scheduling with binary random faults in cloud computing environments	308
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing	242
Strengthened grey wolf optimization algorithms for numerical optimization tasks and AutoML	238
Enhancing Quality-Diversity algorithm by reinforcement learning for Flexible Job Shop Scheduling with transportation constraints	169
Constrained multi-objective particle swarm optimization for bistatic RFID network planning with distributed antennas	158
Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments	132
An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences	125
Landscape features in single-objective continuous optimization: Have we hit a wall in algorithm selection generalization?	120
EABC-AS: Elite-driven artificial bee colony algorithm with adaptive population scaling	118
Multimodal multiobjective differential evolution algorithm based on enhanced decision space search	114
An improved iterative greedy athm for energy-efficient distributed assembly no-wait flow-shop scheduling problem	110
A similarity-detection-based evolutionary algorithm for large-scale multimodal multi-objective optimization	98
Thermal parameter identification of concrete dams based on hybrid particle swarm optimization using distributed optical fiber monitoring data	98
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time	96
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach	91
Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization	89
Ensemble of selection operators for decomposition-based multi-objective evolutionary optimization	86
Elite archives-driven particle swarm optimization for large scale numerical optimization and its engineering applications	85
Triple competitive differential evolution for global numerical optimization	84
Choice of benchmark optimization problems does matter	82
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data	80
Meta-heuristic Techniques in Microgrid Management: A Survey	76
A correlation-guided cooperative coevolutionary method for feature selection via interaction learning-based space division	69
Enhanced auxiliary population search for diversity improvement of constrained multiobjective coevolutionary optimization	67
A large-scale continuous optimization benchmark suite with versatile coupled heterogeneous modules	65

Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty	64
A self‐organizing weighted optimization based framework for large‐scale multi‐objective optimization	61
A classification-assisted environmental selection strategy for multiobjective optimization	61
Editorial Board	57
Symbiotic Operation Forest (SOF): A novel approach to supervised machine learning	52
Editorial Board	50
Editorial Board	50
Editorial Board	47
Grammar-based cooperative learning for evolving collective behaviours in multi-agent systems	47
Editorial Board	47
Editorial Board	45
An improved problem transformation algorithm for large-scale multi-objective optimization	45
Editorial Board	45
A knowledge-driven memetic algorithm for the energy-efficient distributed homogeneous flow shop scheduling problem	45
A problem knowledge driven bi-population cooperative framework for time-varying ratio error estimation of voltage transformers	44
Search-based detection of code changes introducing performance regression	44
Editorial Board	44
Metaheuristics for variable-size mixed optimization problems: A unified taxonomy and survey	43
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection	43
A benchmark test suite for evolutionary multi-objective multi-concept optimization	42
Un-evaluated solutions may be valuable in expensive optimization	41
A recursive framework for improving the performance of multi-objective differential evolution algorithms for gene selection	41
Multi-guiding spark fireworks algorithm: Solving multimodal functions by multiple guiding sparks in fireworks algorithm	40
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization	38
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction	38
A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization	38
Deep reinforcement learning assisted surrogate model management for expensive constrained multi-objective optimization	38
A Two-stage Surrogate-Assisted Evolutionary Algorithm (TS-SAEA) for Expensive Multi/Many-objective Optimization	38
A Novel Parametric benchmark generator for dynamic multimodal optimization	38
A decomposition-based dynamic constrained multi-objective task assignment for heterogeneous crowdsensing	38
A partition-based constrained multi-objective evolutionary algorithm	38
Batch subproblem coevolution with gaussian process-driven linear models for expensive multi-objective optimization	37
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization	36
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization	36
Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm	36
A dynamic multi-objective optimization evolutionary algorithm based on particle swarm prediction strategy and prediction adjustment strategy	36
An Adaptive Multi-Meme Memetic Algorithm for the prize-collecting generalized minimum spanning tree problem	36
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	35
A comparative study of evolutionary algorithms and particle swarm optimization approaches for constrained multi-objective optimization problems	35
Constrained multi-objective optimization with dual-swarm assisted competitive swarm optimizer	35
Improving multi-objective evolutionary algorithms using Grammatical Evolution	35
Random projection enhancement: A Novel method for improving performance of surrogate models	35
Bottleneck alleviation and scheduling optimization of flexible manufacturing system based on information-energy flow model	35
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems	34
A population perturbation and elimination strategy based genetic algorithm for multi-satellite TT&C scheduling problem	34
Grammatical evolution for constraint synthesis for mixed-integer linear programming	34
MjSO: A modified differential evolution with a probability selection mechanism and a directed mutation strategy	34
Efficient search of decision makers’ region of interest by using preference directions in multi-objective coevolutionary algorithm	33
A supervised parallel optimisation framework for metaheuristic algorithms	32
Differential evolution with evolutionary scale adaptation	32

Adaptive multi-swarm in dynamic environments	31
Runtime analysis of immune-inspired hypermutation operators in evolutionary multi-objective optimization	31
Multi-objective interval portfolio optimization modeling and solving for margin trading	31
Memetic coral reefs optimization algorithms for optimal geometrical design of submerged arches	30
Deep reinforcement learning assisted automated guiding vector selection for large-scale sparse multi-objective optimization	30
HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information	30
Improved particle swarm optimization with reverse learning and neighbor adjustment for space surveillance network task scheduling	30
Diversity preference-based many-objective particle swarm optimization using reference-lines-based framework	30
Large language models as surrogate models in evolutionary algorithms: A preliminary study	29
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment	29
The constrained permutation flowshop problem: An effective two-stage iterated greedy algorithm to minimize weighted tardiness	29
A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones	29
A novel molecular docking program based on a multi-swarm competitive algorithm	29
IOT device type identification using magnetized Hopfield neural network with tuna swarm optimization algorithm	28
An optimized watermarking scheme based on genetic algorithm and elliptic curve	27
Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D	27
A dynamic-ranking-assisted co-evolutionary algorithm for constrained multimodal multi-objective optimization	27
A hybrid genetic tabu search algorithm for distributed job-shop scheduling problems	27
Optimization techniques and applications in fog computing: An exhaustive survey	27
Adaptive gradient descent enabled ant colony optimization for routing problems	26
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation	26
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time	26
Adam-assisted quantum particle swarm optimization guided by length of potential well for numerical function optimization	26
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming	26
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning	26
Cooperative constrained multi-objective dual-population evolutionary algorithm for optimal dispatching of wind-power integrated power system	25
Designing problem-specific operators for solving the Cell Switch-Off problem in ultra-dense 5G networks with hybrid MOEAs	25
A double-Q network collaborative multi-objective optimization algorithm for precast scheduling with curing constraints	25
Minimizing the sum of makespan on multi-agent single-machine scheduling with release dates	25
Evolutionary multimodal multiobjective optimization guided by growing neural gas	24
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications	24
Co-evolution genetic programming-based hyper-heuristics for the stochastic project scheduling problem with resource transfer and idle costs	24
Intelligent cross-entropy optimizer: A novel machine learning-based meta-heuristic for global optimization	24
Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges	24
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms	24
An effective multi-objective evolutionary algorithm for multiple spraying robots task assignment problem	24
Proximity ranking-based multimodal differential evolution	24
A multi-objective teaching-learning-based optimizer for a cooperative task allocation problem of weeding robots and spraying drones	24
Harmony search algorithm and related variants: A systematic review	24
A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization	23
Multi-strategy dynamic multi-objective evolutionary algorithm with hybrid environmental change responses	23
Incorporating Surprisingly Popular Algorithm and Euclidean distance-based adaptive topology into PSO	23
From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013–2023)	22
Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms	22
A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction	22
Decomposition with adaptive composite norm for evolutionary multi-objective combinatorial optimization	22
A genetic algorithm inspired optimized cluster head selection method in wireless sensor networks	22
A differential evolution algorithm for solving mixed-integer nonlinear programming problems	22
MOEA/D with customized replacement neighborhood and dynamic resource allocation for solving 3L-SDHVRP	22
Redefined decision variable analysis method for large-scale optimization and its application to feature selection	22
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization	21
Energy-efficient flexible job shop scheduling problem considering discrete operation sequence flexibility	21
Integrated scheduling problem of multi-load AGVs and parallel machines considering the recovery process	21
Real-time collaborative feeder vehicle routing problem with flexible time windows	21
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure	21
Benchmark problems for large-scale constrained multi-objective optimization with baseline results	21
Learning-assisted improvements in Adaptive Variable Neighborhood Search	21
A multiobjective differential evolution algorithm with subpopulation region solution selection for global and local Pareto optimal sets	21
A collaborative-learning multi-agent reinforcement learning method for distributed hybrid flow shop scheduling problem	21
Multioperator search strategy for evolutionary multiobjective optimization	21
Enhancing healthcare resource allocation through large language models	21
A dual-population co-evolution algorithm with balanced environmental selection for constrained multimodal multiobjective optimization problems	20
WITHDRAWN: Scaling up Detection Rate in Intrusion Detection using Self-Adaptive Swarm Intelligence Mechanism	20
Generating random complex networks with network motifs using evolutionary algorithm-based null model	20
A metaheuristic approach for mining gradual patterns	20
Editorial Board	20
A stigmergic approach to teaching-learning-based optimization for continuous domains	20
Solving sparse multi-objective optimization problems via dynamic adaptive grouping and reward-penalty sparse strategies	20
Multi-Agent Reinforcement Learning for task allocation in the Internet of Vehicles: Exploring benefits and paving the future	20
Differential evolution with collective ensemble learning	20
Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time	19
Exploring high-dimensional optimization by sparse and low-rank evolution strategy	19
Multi-objective optimal power flow problem using constrained dynamic multitasking multi-objective optimization algorithm	19
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks	19
Reinforcement learning-assisted particle swarm algorithm for effluent scheduling problem with an influent estimation of WWTP	19
Multi-modal multi-objective wolf pack algorithm with circumferential scouting and intra-niche interactions	19
Dynamic multi-objective evolutionary algorithm based on dual-layer collaborative prediction under multiple perspective	19
Surrogate-assisted differential evolution: A survey	19
Withdrawal notice to: WITHDRAWN: ‘Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application’ [Swarm and Evolutionary Computation 63 (2021) 1–40/100868]	19
Multifactorial evolutionary algorithm for optimal reconfiguration capability of distribution networks	19

Self-organizing surrogate-assisted non-dominated sorting differential evolution	18
Offline data‐driven evolutionary optimization based on model selection	18
Adaptive surrogate-assisted multi-objective evolutionary algorithm using an efficient infill technique	18
Challenging test problems for multi- and many-objective optimization	18
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics	18
A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts	18
Particle Swarm Optimization for a redundant repairable machining system with working vacations and impatience in a multi-phase random environment	17
Developing machine learning models with metaheuristic algorithms for droplet size prediction in a microfluidic microchannel	17
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection	17
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm	17
Solving the storage location assignment of large-scale automated warehouse based on dynamic vortex search algorithm	17
Evolutionary multi-task allocation for mobile crowdsensing with limited resource	17
Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey	17
Optimal prediction intervals for macroeconomic time series using chaos and evolutionary multi-objective optimization algorithms	17
A parallel heuristic for hybrid job shop scheduling problem considering conflict-free AGV routing	17
Deep reinforcement learning assisted novelty search in Voronoi regions for constrained multi-objective optimization	17
On the elusivity of dynamic optimisation problems	16
Multi-objective optimization driven by preponderant individuals and symmetric sampling for operational parameter design in aluminum electrolysis process	16
A solution potential-based adaptation reference vector evolutionary algorithm for many-objective optimization	16
Decomposition-based evolutionary algorithm with dual adjustments for many-objective optimization problems	16
On the representativeness metric of benchmark problems in numerical optimization	16
A reinforcement learning-driven adaptive decomposition algorithm for multi-objective hybrid seru system scheduling considering worker transfer	16
A surrogate-assisted hybrid swarm optimization algorithm for high-dimensional computationally expensive problems	16
An ensemble reinforcement learning-assisted deep learning framework for enhanced lung cancer diagnosis	16
Efficient ontology matching through compact linear genetic programming with surrogate-assisted local search	16
Differential Evolution with perturbation mechanism and covariance matrix based stagnation indicator for numerical optimization	16
Surrogate-assisted multi-objective optimization via knee-oriented Pareto front estimation	16
A weighted knowledge extraction strategy for dynamic multi-objective optimization	15
A novel adaptive algorithm of particle swarm optimization based on the human social learning intelligence	15
Efficient user-oriented Pareto fronts and Pareto archives based on spatial data structures	15
Editorial Board	15
Population-level center-based sampling for meta-heuristic algorithms	15
Chaos crossover quantum attraction-repulsion optimization algorithm	15
Beyond exploitation: Measuring the impact of local search in swarm-based memetic algorithms through the interactions of individuals in the population	15
Automated design of action advising trigger conditions for multiagent reinforcement learning: A genetic programming-based approach	15
Feasibility-ratio based sequencing for computationally efficient constrained optimization	15
A new moving peaks benchmark with attractors for dynamic evolutionary algorithms	15
Stable switched controllers for a swarm of UGVs for hierarchal landmark navigation	15
An adaptive multitask optimization algorithm based on competitive scoring	15
Q-learning assisted multi-objective evolutionary optimization for low-carbon scheduling of open-pit mine trucks	15
A particle swarm optimization-based deep clustering algorithm for power load curve analysis	15
Editorial Board	15
Non-equidistant grey prediction evolution algorithm: A mathematical model-based meta-heuristic technique	15
Adaptive operator selection with test-and-apply structure for decomposition-based multi-objective optimization	15
Editorial Board	15
Visualization and analysis of Pareto-optimal fronts using interpretable self-organizing map (iSOM)	15
Pareto multi-objective optimization for high locality-preserving space-filling curve identification	15
PF-MAAC: A learning-based method for probabilistic optimization in time-constrained non-adversarial moving target search	15
A Kriging-assisted Double Population Differential Evolution for Mixed-Integer Expensive Constrained Optimization Problems with Mixed Constraints	14
A hybrid granular-evolutionary computing method for cooperative scheduling optimization on integrated energy system in steel industry	14
Finding an optimised infrastructure for electricity distribution networks in rural areas - A comparison of different approaches	14
A multi-resolution grid-based bacterial foraging optimization algorithm for multi-objective optimization problems	14
COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems	14
Photovoltaic model parameters identification using diversity improvement-oriented differential evolution	14
Graph embedding based ant colony optimization for negative influence propagation suppression under cost constraints	14
Two novel population based algorithms for the single machine scheduling problem with sequence dependent setup times and release times	14
A hybrid optimization algorithm for structural balance model based on influence between nodes and community quality	14
Adaptive stochastic fractal search algorithm for multi-objective optimization	13
Welcome from Editor-in-Chief of Swarm and Evolutionary Computation	13
Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction	13
Optimizing feedforward neural networks using a modified weighted mean of vectors: Case study chemical datasets	13
PSO based data clustering with a different perception	13
AutoMoDe-Mate: Automatic off-line design of spatially-organizing behaviors for robot swarms	13
Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm	13
SagTree: Towards efficient mutation in evolutionary circuit approximation	13
A knee-oriented many-objective differential evolution with bi-strategy and Manhattan distance-domination range	13
Energy disaggregation considering least square error and temporal sparsity: A multi-objective evolutionary approach	13
CMA-ES with exponential based multiplicative covariance matrix adaptation for global optimization	13
Integration of machine learning prediction and heuristic optimization for mask delivery in COVID-19	13
A novel multi-objective evolutionary algorithm for hybrid renewable energy system design	13
A two-stage evolutionary algorithm for noisy bi-objective optimization	13
Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times	13
An effective multi-objective adaptive iterated greedy algorithm for semi-open multi-AGV scheduling problem with charging and maintenance	13
Bi-objective scenario-guided swarm intelligent algorithms based on reinforcement learning for robust unrelated parallel machines scheduling with setup times	13
An effective two-stage iterated greedy algorithm to minimize total tardiness for the distributed flowshop group scheduling problem	13