yusuke1997/dblp-id-title huggingface dataset:
A comparative study of evolutionary algorithms and particle swarm optimization approaches for constrained multi-objective optimization problems
Mde-EvoNAS: Automatic network architecture design for monocular depth estimation via evolutionary neural architecture search
Information fusion in offspring generation: A case study in DE and EDA
cPSO-CNN: An efficient PSO-based algorithm for fine-tuning hyper-parameters of convolutional neural networks
A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization
Computing with the collective intelligence of honey bees - A survey
Soccer league competition algorithm: A novel meta-heuristic algorithm for optimal design of water distribution networks
Evolutionary reinforcement learning via cooperative coevolutionary negatively correlated search
A swarm intelligence-based approach to anomaly detection of dynamic systems
Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals
A near maximum likelihood performance modified firefly algorithm for large MIMO detection
Solving hybrid charging strategy electric vehicle based dynamic routing problem via evolutionary multi-objective optimization
Solving systems of nonlinear equations using a modified firefly algorithm (MODFA)
Dimensionality reduction in evolutionary algorithms-based feature selection for motor imagery brain-computer interface
A systematic review of metaheuristics-based and machine learning-driven intrusion detection systems in IoT
An evolution strategies-based reinforcement learning algorithm for multi-objective dynamic parallel machine scheduling problems
Switching ripple suppressor design of the grid-connected inverters: A perspective of many-objective optimization with constraints handling
A comprehensive survey of adaptive strategies in differential evolutionary algorithms
Using heuristic and iterative greedy algorithms for the total weighted completion time order scheduling with release times
Improved Raven Roosting Optimization algorithm (IRRO)
An enhanced-indicator based many-objective evolutionary algorithm with adaptive reference point
Population-based metaheuristics for continuous boundary-constrained dynamic multi-objective optimisation problems
Time efficiency in optimization with a bayesian-Evolutionary algorithm
An adaptive weight optimization algorithm based on decision variable grouping for large-scale multi-objective optimization problems
Multi objective evolutionary algorithm for designing energy efficient distribution transformers
Probabilistic bootstrap-based evolutionary algorithm for three-objective wind farm turbine position optimization
Modelling the acoustic behaviour of tricot fabrics using metaheuristic optimization algorithms
GMO: A general multimodal optimization framework applicable to various global metaheuristic algorithms
An in-depth study to fine-tune the hyperparameters of pre-trained transfer learning models with state-of-the-art optimization methods: Osteoarthritis severity classification with optimized architectures
A survey on swarm intelligence approaches to feature selection in data mining
Nature Inspired Power Optimization in smartphones
DEEM - Differential Evolution with Elitism and Multi-populations
Reinforcement learning-integrated evolutionary algorithm for enhanced unmanned aerial vehicle coverage path planning
A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery
Metaheuristics for analog circuit design optimization: A survey
Distributed DOA estimation using clustering of sensor nodes and diffusion PSO algorithm
Hierarchical preference algorithm based on decomposition multiobjective optimization
A parallel heuristic for hybrid job shop scheduling problem considering conflict-free AGV routing
Comparison of computational intelligence algorithms for loadability enhancement of restructured power system with FACTS devices
A novel multi-objective genetic algorithm based error correcting output codes
Evolutionary Neural Architecture Search for Super-Resolution: Benchmarking SynFlow and model-based predictors
Auxiliary optimization framework based on scaling transformation matrix for large-scale multi-objective problem
A dimensionality reduction assisted evolutionary algorithm for high-dimensional expensive multi/many-objective optimization
A simulated annealing for multi-criteria optimization problem: DBMOSA
Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition
An archive-assisted multi-modal multi-objective evolutionary algorithm
A population hierarchical-based evolutionary algorithm for large-scale many-objective optimization
A surrogate-assisted memetic algorithm for permutation-based combinatorial optimization problems
Accelerating surrogate assisted evolutionary algorithms for expensive multi-objective optimization via explainable machine learning
Constraint subsets-based evolutionary multitasking for constrained multiobjective optimization
The dynamic vehicle routing problem: Solution with hybrid metaheuristic approach
Expensive constrained multi-objective optimization via adaptive surrogate-assisted dense weight multi-objective evolutionary algorithm
A novel hybrid particle swarm optimization with marine predators
A survey of meta-heuristic algorithms in optimization of space scale expansion
Model complex control CMA-ES
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis
Multi-objective evolutionary algorithm based on decomposition with an external archive and local-neighborhood based adaptation of weights
Multi-objective optimization driven by preponderant individuals and symmetric sampling for operational parameter design in aluminum electrolysis process
Cost optimization, reliability, and MTTF analysis for failed excavators in hydraulic repair center using queueing theory
Using Karush-Kuhn-Tucker proximity measure for solving bilevel optimization problems
ERPSSA-GBFT: A hybrid algorithm for multi-objective high-dimensional optimization problems in mixed train pantograph-catenary design
A self-adjusting representation-based multitask PSO for high-dimensional feature selection
A classification-assisted environmental selection strategy for multiobjective optimization
A population-based DNN-augmented optimization method for designing truss structures
Improved Self-adaptive Search Equation-based Artificial Bee Colony Algorithm with competitive local search strategy
A parallel iterated greedy framework for co-scheduling of distributed factories and automated transport
Offline data-driven evolutionary optimization based on tri-training
A double-Q network collaborative multi-objective optimization algorithm for precast scheduling with curing constraints
BIM 2 RT: BWAS-immune mechanism based multipath reliable transmission with fault tolerance in wireless sensor networks
Transferring knowledge by budget online learning for multiobjective multitasking optimization
Investigations of a GPU-based levy-firefly algorithm for constrained optimization of radiation therapy treatment planning
A constrained multi-objective evolutionary algorithm based on decomposition with improved constrained dominance principle
Maintaining regularity and generalization in data using the minimum description length principle and genetic algorithm: Case of grammatical inference
An extended interval vector space for the multiobjective fractional optimization problem with application to the inventory model
A self adaptive differential harmony search based optimized extreme learning machine for financial time series prediction
Exponential evolution mechanism for in vivo computation
A modified PBI approach for multi-objective optimization with complex Pareto fronts
Formulating particle swarm optimization based membership linear discriminant analysis
Incorporating exhibitor competitiveness and price sensitivity: A Staged Crossover Hybrid Genetic Algorithm (SCHGA) for optimizing booth pricing
An introduction and survey of estimation of distribution algorithms
A multi-modal multi-objective evolutionary algorithm based on dual decomposition and subset selection
Adaptive evolutionary programming with p-best mutation strategy
Online feature subset selection for mining feature streams in big data via incremental learning and evolutionary computation
An offline-online learning framework combining meta-learning and reinforcement learning for evolutionary multi-objective optimization
An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals
Towards explainable traffic signal control for urban networks through genetic programming
Genetic programming with local search to evolve priority rules for scheduling jobs on a machine with time-varying capacity
Graph embedding based ant colony optimization for negative influence propagation suppression under cost constraints
Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption
An adaptive multitask optimization algorithm based on competitive scoring
An iterated greedy algorithm with acceleration of job allocation probability for distributed heterogeneous permutation flowshop scheduling problem
A multi-role based differential evolution
An opposition equilibrium optimizer for context-sensitive entropy dependency based multilevel thresholding of remote sensing images
Population topologies for particle swarm optimization and differential evolution
Multiobjective security-constrained optimal reactive dispatch with enhanced sinusoidal discretization
Constrained multi-objective evolutionary algorithm based on the correlation between objectives and constraints
Hybridizing genetic algorithm with differential evolution for solving the unit commitment scheduling problem
Multi-population meta-heuristics for production scheduling: A survey
Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey
Energy-efficient task scheduling with binary random faults in cloud computing environments
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
Partition-informed Ant Colony Optimization for min-max multiple TSP
Impact of population topology on particle swarm optimization and its variants: An information propagation perspective
Review of Differential Evolution population size
Optimal placement of phasor measurement unit for implementation of WAMS in a grid system
A dynamic evolution of graph structure-based algorithm for multi-modal multi-objective optimization
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review
Mathematical model and adaptive multi-objective evolutionary algorithm for cellular manufacturing with mixed production mode
Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation
Weak-prior medical image matting based on microscale-searching evolutionary optimization
CMOPEO-OP: Constrained multi-objective population extremal optimization-based optimal planning of standalone microgrids
Adaptive design of the magnetron injection gun using constrained multiobjective optimization
The difficulty of predicting behavior on stochastic local search algorithms
A cluster based PSO with leader updating mechanism and ring-topology for multimodal multi-objective optimization
Surrogate-assisted evolutionary computation: Recent advances and future challenges
A novel evolutionary approach for load balanced clustering problem for wireless sensor networks
Finding robust and influential nodes on directed networks using a memetic algorithm
Metaheuristics in structural optimization and discussions on harmony search algorithm
Global Opposition Learning and Diversity ENhancement based Differential Evolution with exponential crossover for numerical optimization
Evolutionary multi-objective fault diagnosis of power transformers
Influence of the number of connections between particles in the performance of a multi-objective particle swarm optimizer
Theoretical analysis and methods of rapid evaluation: Solving the blocking flowshop group scheduling problem with the total flow time and total tardiness time criteria
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks
A twin-archive guided decomposition based multi/many-objective evolutionary algorithm
Differential Evolution with perturbation mechanism and covariance matrix based stagnation indicator for numerical optimization
Balancing heterogeneous assembly line with multi-skilled human-robot collaboration via Adaptive cooperative co-evolutionary algorithm
Portfolio optimization using novel co-variance guided Artificial Bee Colony algorithm
A set of new compact firefly algorithms
Constrained multi-objective particle swarm optimization for bistatic RFID network planning with distributed antennas
Comments on "Evolutionary and GPU computing for topology optimization of structures"
Dynamic multi-objective evolutionary algorithm based on dual-layer collaborative prediction under multiple perspective
An efficient gbest-guided Cuckoo Search algorithm for higher order two channel filter bank design
jMetalPy: A Python framework for multi-objective optimization with metaheuristics
A multi-strategy self-adaptive differential evolution algorithm for assembly hybrid flowshop lot-streaming scheduling with component sharing
Hybrid ant optimization system for multiobjective economic emission load dispatch problem under fuzziness
Consensus-based virtual leader tracking swarm algorithm with GDRRT*-PSO for path-planning of multiple-UAVs
Co-evolution genetic programming-based hyper-heuristics for the stochastic project scheduling problem with resource transfer and idle costs
Modular interactive computation scheme for the internet of things assisted robotic services
Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons
Flow measurement data quality improvement-oriented optimal flow sensor configuration
Artificial bees for multilevel thresholding of iris images
Multi-objective migrating birds optimization for solving stochastic home health care routing and scheduling problems considering caregiver working time constraints
A knowledge transfer-based strategy for constrained multiobjective optimization
Foreword: New theoretical insights and practical applications of bio-inspired computation approaches
A constrained multi-objective optimization algorithm with adaptive dual-stage search strategy utilizing the relationship between different Pareto fronts
A metaheuristic approach for mining gradual patterns
Coevolutionary multitasking for constrained multiobjective optimization
Hierarchical heterogeneous ant colony optimization based weight generation for texture classification
Symbiotic Operation Forest (SOF): A novel approach to supervised machine learning
A niching differential evolution with Hilbert curve for multimodal multi-objective optimization
Evolutionary LSTM-FCN networks for pattern classification in industrial processes
Simultaneous optimization for berth and quay crane scheduling in container terminals
Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm
A subspace strategy based coevolutionary framework for constrained multimodal multiobjective optimization problems
Immuno-inspired management of halls of fame for embodied evolution
Benchmarking NLopt and state-of-the-art algorithms for continuous global optimization via IACO R
A hybrid genetic and variable neighborhood search algorithm for the hybrid flow-shop scheduling problem in pyrotechnic manufacturing industry with batch processing machines and lot-streaming
Reinforcement knowledge sharing assisted two-archive evolutionary algorithm for many-objective optimization
An evolutionary based topological optimization strategy for consensus based clock synchronization protocols in wireless sensor network
Selective voltage harmonic elimination in PWM inverter using bacterial foraging algorithm
A Co-evolutionary Multi-population Evolutionary Algorithm for Dynamic Multiobjective Optimization
An offline data-driven process for learning operator selection from metaheuristic search traces
Bi-objective scheduling of physical therapy treatments with coupled operations for inpatients in rehabilitation departments
A multi-objective evolutionary algorithm for feature selection incorporating dominance-based initialization and duplication analysis
One-to-one ensemble mechanism for decomposition-based multi-Objective optimization
Material delivery optimization for make-to-order reconfigurable job shops using an improved chaotic multi-verse algorithm
An adaptive multi-objective algorithm based on decomposition and large neighborhood search for a green machine scheduling problem
A novel Random Walk Grey Wolf Optimizer
Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO
Helper objective-based multifactorial evolutionary algorithm for continuous optimization
Surrogate-assisted evolutionary algorithm with adaptive local region search for high-dimensional expensive multi-objective optimization problems
Unified space approach-based Dynamic Switched Crowding (DSC): A new method for designing Pareto-based multi/many-objective algorithms
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
EvoBank: An evolutionary game solution for Bankruptcy problem
A new prediction strategy combining T-S fuzzy nonlinear regression prediction and multi-step prediction for dynamic multi-objective optimization
Corrigendum to "Adaptive search based Grey Wolf optimization algorithm for multi-objective optimization of ethylene cracking furnace" [Swarm Evol. Comput. 92 (2025) 101,810]
A multifactorial evolutionary algorithm to detect stably influential seeds from competitive networks under multiple damage scenarios
Particle Swarm Optimization for a redundant repairable machining system with working vacations and impatience in a multi-phase random environment
LONSA: A labeling-oriented non-dominated sorting algorithm for evolutionary many-objective optimization
Multiobjective multi-UAV path planning via evolutionary multitasking optimization with adaptive operator selection and knowledge fusion
Tensor joint framework enhanced by game-theoretic constrained optimization for skin cancer forecasting
MRLM: A meta-reinforcement learning-based metaheuristic for hybrid flow-shop scheduling problem with learning and forgetting effects
Non-revisiting stochastic search revisited: Results, perspectives, and future directions
Genetic-based optimization in fog computing: Current trends and research opportunities
Deep reinforcement learning method for satellite range scheduling problem
Un-evaluated solutions may be valuable in expensive optimization
A novel multi-objective evolutionary algorithm with dynamic decomposition strategy
Population statistics for particle swarm optimization: Hybrid methods in noisy optimization problems
A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution
Interval many-objective evolutionary algorithm guided by dynamic dual-sequence mechanism
Multi-objective scheduling problem: Hybrid approach using fuzzy assisted cuckoo search algorithm
Convolutional neural network combined with reinforcement learning-based dual-mode grey wolf optimizer to identify crop diseases and pests
An automatic nuclei segmentation method using intelligent gravitational search algorithm based superpixel clustering
Exploring module interactions in modular CMA-ES across problem classes
A bi-objective routing problem for cooperated trucks and drones in river water quality monitoring
A parallel multi-objective optimization algorithm for the calibration of mathematical models
Swarm and evolutionary computing algorithms for system identification and filter design: A comprehensive review
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
Solving dynamic multi-objective engineering design problems via fuzzy c-means prediction algorithm
Property of decision variables-inspired location strategy for multiobjective optimization
A novel technique for blind source separation using bees colony algorithm and efficient cost functions
Multi-start heuristics for the profitable tour problem
Memetic coral reefs optimization algorithms for optimal geometrical design of submerged arches
An agent-assisted heterogeneous learning swarm optimizer for large-scale optimization
A reinforcement learning-based ranking teaching-learning-based optimization algorithm for parameters estimation of photovoltaic models
A comprehensive survey on cultural algorithms
Configuring differential evolution adaptively via path search in a directed acyclic graph for data clustering
A frequent pattern-based coevolutionary framework for multi-component spectral feature selection
RBSS: A fast subset selection strategy for multi-objective optimization
A novel framework for retiming using evolutionary computation for high level synthesis of digital filters
Clustering using firefly algorithm: Performance study
A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering
Leveraging diversity in computer-aided musical orchestration with an artificial immune system for multi-modal optimization
Termite spatial correlation based particle swarm optimization for unconstrained optimization
Decomposition-based multi-objective reinforcement learning for dynamic disassembly job shop scheduling with urgency guidance
Dual-individual genetic algorithm: A dual-individual approach for efficient training of multi-layer neural networks
A grey prediction-based evolutionary algorithm for dynamic multiobjective optimization
Generating continuous multi-objective benchmark problems by the object-oriented method
Continuous variation operator configuration for decomposition-based evolutionary multi-objective optimization
Population-based simulated annealing algorithm for the min-degree constrained minimum spanning tree problem
Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization
A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization
Dynamic instance sampling for multi-objective automatic algorithm configuration
Vanishing point detection for self-driving car using harmony search algorithm
A steady-state weight adaptation method for decomposition-based evolutionary multi-objective optimisation
A manifold prediction strategy for evolutionary dynamic multiobjective optimization
Elite knowledge transfer within lower-level searches for bilevel optimization
Comparative study of nature-inspired algorithms to design (1+ α ) and (2+ α )-order filters using a frequency-domain approach
Quantum circuit mapping based on discrete particle swarm optimization and deep reinforcement learning
Dimensional window method: A plug-in-style large-scale handling technique for evolutionary algorithm
Open shop scheduling with group and transportation operations by learning-driven hyper-heuristic algorithms
Multiobjective multiple features fusion: A case study in image segmentation
An evolutionary multi-objective optimization framework of discretization-based feature selection for classification
A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions
Prediction of porosity and thermal diffusivity in a porous fin using differential evolution algorithm
PSOG: Enhanced particle swarm optimization by a unit vector of first and second order gradient directions
Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection