yusuke1997/dblp-id-title huggingface dataset:
A simple and scalable particle swarm optimization structure based on linear system theory
A novel ensemble learning-based model for APT attack detection
Thematic issue on hybrid nature-inspired algorithms: concepts, analysis and applications
Special issue on advances in nature inspired algorithms for complex numerical optimization problems
Facial emotion recognition based on ResNet18 with multi-dimensional attention mechanisms
Optimal placement and sizing of capacitor using Limaçon inspired spider monkey optimization algorithm
An ensemble event extraction method on news
Bagging-based ensemble classifiers using multi-objective genetic programming
An algorithm development environment for problem-solving: software review
An ensemble learning algorithm based on multimodal differential evolution and extreme learning machine
A framework for finding robust optimal solutions over time
Birds foraging search: a novel population-based algorithm for global optimization
Hierarchical heterogeneous graph learning for color-missing ALS pointcloud segmentation
A probability first memetic algorithm for the dynamic multiple-fault diagnosis problem with non-ideal tests
Deep memetic models for combinatorial optimization problems: application to the tool switching problem
A multipopulation evolutionary framework with Steffensen's method for dynamic multiobjective optimization problems
AIM: an accurate and explainable model for ATAC to GEX translation and pathway analysis
Dual evolutionary algorithm based on Dyna-Q for distributed heterogeneous hybrid flow shop problems with L-R trapezoidal fuzzy numbers
On principle axis based line symmetry clustering techniques
Multi-objective memetic algorithm for core-periphery structure detection in complex network
Automated self-organising vehicles for Barclays Cycle Hire
A hierarchical multi-label classification ant colony algorithm for protein function prediction
Reordering-enhanced Grad-CAM for unveiling hidden patterns in multi-source financial data
Guest Editorial: Thematic Issue on "Memetic Algorithms: Theory and applications in OR/MS"
Parallel machine scheduling with job family, release time, and mold availability constraints: model and two solution approaches
Transfer weight functions for injecting problem information in the multi-objective CMA-ES
Guest Editorial: Special Issue on Nature Inspired Cooperative Strategies for Optimization (Part I)
Search strategies investigation in brain storm optimization
On embodied memetic evolution and the emergence of behavioural traditions in Robots
A new memetic algorithm based on cellular learning automata for solving the vertex coloring problem
Employment of neural network and rough set in meta-learning
CBSO: a memetic brain storm optimization with chaotic local search
Guest editorial: Thematic issue on 'Adaptive Soft Computing Techniques and Applications'
A point crowding-degree based evolutionary algorithm for many-objective optimization
A fuzzy multi-objective particle swarm optimization for effective data clustering
Memetic algorithms, domain knowledge, and financial investing
A bi-level transformation based evolutionary algorithm framework for equality constrained optimization
Stratified prototype selection based on a steady-state memetic algorithm: a study of scalability
F-Chain: personalized overall survival prediction based on incremental adaptive indicators and multi-source clinical records
Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems
A novel efficient bi-objective evolutionary algorithm for frequent and high utility itemsets mining
A novel recommendation system in location-based social networks using distributed ELM
A Hybrid grey wolf optimizer and genetic algorithm for minimizing potential energy function
Novel inertia weight strategies for particle swarm optimization
A hybridization of clonal selection algorithm with iterated local search and variable neighborhood search for the feature selection problem
A Hybrid Symbiosis Organisms Search algorithm and its application to real world problems
Meta-heuristic improvements applied for steel sheet incremental cold shaping
Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors
Guest editorial: Memetic Computing in the presence of uncertainties
Solving multi-objective energy-efficient flexible job shop problems by a dual-level NSGA-II algorithm
A kernel extreme learning machine algorithm based on improved particle swam optimization
Thermal image colorization using Markov decision processes
A clustering-based weighted optimization algorithm for large-scale multi-objective optimization problems
Multi-objective approaches to portfolio optimization with market impact costs
Development of a multi-objective artificial tree (MOAT) algorithm and its application in acoustic metamaterials
Sequence searching and evaluation: a unified approach for aircraft arrival sequencing and scheduling problems
Evolving multidimensional transformations for symbolic regression with M3GP
The discovery of population interaction with a power law distribution in brain storm optimization
Letter: New best known solution for the most difficult QAP instance "tai100a"
A decomposition-based many-objective evolutionary algorithm with weight grouping and adaptive adjustment
A new diversity induction mechanism for a multi-objective ant colony algorithm to solve a real-world time and space assembly line balancing problem
Fabrication of a resonant PEMC sensor using hybrid $$\upvarepsilon $$ ε -constraint lexicographical ranking DE-MSBA with Jacobean approximation
A regularity model-based multi-objective estimation of distribution memetic algorithm with auto-controllable population diversity
EB-GLS: an improved guided local search based on the big valley structure
Constrained Multi-Objective Optimization with a Limited Budget of Function Evaluations
ResGAT: Residual Graph Attention Networks for molecular property prediction
Differential evolution framework for big data optimization
A constrained multi-objective optimization algorithm with two cooperative populations
Comment on paper "Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization" by Wang and Li
Dynamic economic dispatch using Lbest-PSO with dynamically varying sub-swarms
An efficient grouping genetic algorithm for U-shaped assembly line balancing problems with maximizing production rate
Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems
Chaotic-based grey wolf optimizer for numerical and engineering optimization problems
A comparison between neural networks and k-nearest neighbours for blood cells taxonomy
A unified distributed ELM framework with supervised, semi-supervised and unsupervised big data learning
Finding attractive technical patterns in cryptocurrency markets
Efficient multi-swarm PSO algorithms for dynamic environments
$$K$$ -page crossing number minimization problem: An evaluation of heuristics and its solution using GESAKP
A PSO-inspired architecture to hybridise multi-objective metaheuristics
A motivational model based on artificial biological functions for the intelligent decision-making of social robots
Cognitive learning in differential evolution and its application to model order reduction problem for single-input single-output systems
DMEA: a direction-based multiobjective evolutionary algorithm
A multiobjective memetic algorithm for integrated process planning and scheduling problem in distributed heterogeneous manufacturing systems
Bi-objective influence maximization with consideration of node burden
Finding near optimum colour classifiers: genetic algorithm-assisted fuzzy colour contrast fusion using variable colour depth
WAYFINDER: parallel virtual machine reallocation through A* search
A parallel cooperative coevolutionary multi-verse algorithm for large-scale multi-objective UAV path planning problems
ACO classification of thermogram symmetry features for breast cancer diagnosis
M-Link: a link clustering memetic algorithm for overlapping community detection
Cooperative co-evolutionary comprehensive learning particle swarm optimizer for formulation design of explosive simulant
A biologically inspired approach for recovering the trajectory of offline handwriting
An efficient memetic genetic programming framework for symbolic regression
Optimal operator selection based on the hybrid operator selection strategy
Exploring dynamic population Island genetic algorithm for solving the capacitated vehicle routing problem
A diversity-aware memetic algorithm for the linear ordering Problem
Quantifying inter-vertices correlation strength and its universal enhancement role in representation learning
Combined separable signals based neuro-fuzzy Hammerstein-Wiener model
An improved adaptive large neighborhood search algorithm for integrated scheduling of distributed production and distribution systems
Evolving a metabolic subsumption architecture for cooperative control of the e-puck
Genetic programming for feature construction and selection in classification on high-dimensional data
Guest editorial: special issue on nature inspired cooperative strategies for optimization
Fast distant support vector data description
Change detection in synthetic aperture radar images based on evolutionary multiobjective optimization with ensemble learning
An effective memetic algorithm for UAV routing and orientation under uncertain navigation environments
A framework for expensive many-objective optimization with Pareto-based bi-indicator infill sampling criterion
Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization
Enhancing online yard crane scheduling through a two-stage rollout memetic genetic programming
A novel two-level particle swarm optimization approach for efficient multiple sequence alignment
Optimization problem solving with auctions in Cultural Algorithms
A multi-level knee point based multi-objective evolutionary algorithm for AUC maximization
A reinforcement learning-based evolutionary algorithm for the unmanned aerial vehicles maritime search and rescue path planning problem considering multiple rescue centers
Parameter adaptation in multifactorial evolutionary algorithm for many-task optimization
Thematic issue on "advanced intelligent scheduling algorithms for smart manufacturing systems"
Dynamic grid-based uniform search for solving constrained multiobjective optimization problems
Memetic reproduction and protolanguage evolution
Multi-task assisted multi-objective optimization algorithm for autonomous underwater vehicle path planning
Manifold construction based on local distance invariance
Solving 0-1 knapsack problems by chaotic monarch butterfly optimization algorithm with Gaussian mutation
Thematic issue on advances in nature inspired cooperative strategies for optimization
Multi-objective deep reinforcement learning for emergency scheduling in a water distribution network
Multi-task Ant Colony Optimization for Multi-vehicle Path Planning
A general cost-benefit-based adaptation framework for multimeme algorithms
Quantum-Inspired Immune Clonal Algorithm for solving large-scale capacitated arc routing problems
Divide-and-conquer memetic algorithm for online multi-objective test paper generation
Parallel hyperheuristics for the frequency assignment problem - Special issue on nature inspired cooperative strategies for optimization
Expensive many-objective evolutionary optimization guided by two individual infill criteria
An effective multiobjective approach for hard partitional clustering
A fast two-objective differential evolution for the two-objective coverage problem of WSNs
An immune-inspired instance selection mechanism for supervised classification
Genetic algorithm with automatic termination and search space rotation
Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization
A novel multi-agent architecture based on decomposition and learning automata to hybridize multi-objective metaheuristics
Hierarchical prompt fusion and image denoising for multimodal aspect-based sentiment analysis
Solving vehicle routing problem by memetic search with evolutionary multitasking
Ensemble mating strategy in evolutionary algorithms for multiobjective optimization
Artificial Bee Colony training of neural networks: comparison with back-propagation
Conditioning optimization of extreme learning machine by multitask beetle antennae swarm algorithm
Multi-objective LSTM ensemble model for household short-term load forecasting
An adaptive binary particle swarm optimization algorithm with filtration and local search for feature selection in text classification
Mining fuzzy association rules using a memetic algorithm based on structure representation
A knowledge learning and random pruning-based memetic algorithm for user route planning in bike-sharing system
A novel multi-objective memetic algorithm based on opposition-based self-adaptive differential evolution
Evolution of biocoenosis through symbiosis with fitness approximation for many-tasking optimization
CCMBO: a covariance-based clustered monarch butterfly algorithm for optimization problems
Distributed event-triggered hybrid wired-wireless networked control with H 2 /H ∞ filtering
Denoising deep extreme learning machine for sparse representation
Top-level dual exploitation particle swarm optimization
Guided genetic algorithm for the multidimensional knapsack problem
Unsupervised extreme learning machine and support vector regression hybrid model for predicting energy commodity futures index
Optimization of integrated production scheduling and vehicle routing problem with batch delivery to multiple customers in supply chain
Thematic issue on "Brain Storm Optimization Algorithms"
A hybrid metaheuristic algorithm for generalized vertex cover problem
Molecular representations in bio-cheminformatics
A discrete bio-inspired metaheuristic algorithm for efficient and accurate image matting
Integrated production and distribution scheduling in distributed hybrid flow shops
Multi-task gradient descent for multi-task learning
Research topics in discrete estimation of distribution algorithms based on factorizations
Feature selection based bee swarm meta-heuristic approach for combinatorial optimisation problems: a case-study on MaxSAT
Designing optimal combination therapy for personalised glioma treatment
Memetic algorithm for the Traveling Car Renter Problem: an experimental investigation
Hybrid multi-objective cuckoo search with dynamical local search
Cash management cost reduction using data mining to forecast cash demand and LP to optimize resources
Recognition of archaic Lanna handwritten manuscripts using a hybrid bio-inspired algorithm
A Multi-start Algorithm with Iterated Decremental Local Search for Minimum Capacitated Dominating Set Problem in Large Graphs
Inferring structure and parameters of dynamic system models simultaneously using swarm intelligence approaches
Convex hull-based multi-objective evolutionary computation for maximizing receiver operating characteristics performance
Joint filter and channel pruning of convolutional neural networks as a bi-level optimization problem
Analysis for optimal pattern synthesis of time modulated concentric circular antenna array using memetic firefly algorithm
Initial states iterative learning for three-dimensional ballistic endpoint control
Adaptive probabilistic harmony search for binary optimization problems
Metaheuristic approaches for ratio cut and normalized cut graph partitioning
An efficient evolutionary multi-objective framework for MEMS design optimisation: validation, comparison and analysis
A hybrid heuristic approach with adaptive scalarization for linear semivectorial bilevel programming and its application
A tolerance-based memetic algorithm for constrained covering array generation
OMNIREP: originating meaning by coevolving encodings and representations
Simultaneous prediction of bauxite quality parameters using TC-Unet and near-infrared spectroscopy
A constrained large-scale lever evolutionary algorithm for white-box problems and its application in spectral-energy efficiency tradeoff of massive MIMO
A single-solution-compact hybrid algorithm for continuous optimization
A cooperative strategy for solving dynamic optimization problems
AntPu: a meta-heuristic approach for energy-efficient and SLA aware management of virtual machines in cloud computing
A multicriteria optimization model of portfolio rebalancing with transaction costs in fuzzy environment
Dynamic matrix-based evolutionary algorithm for large-scale sparse multiobjective optimization problems
Event-driven spiking neural networks with spike-based learning
Accelerating Artificial Bee Colony algorithm with adaptive local search
A particle swarm optimization based multiobjective memetic algorithm for high-dimensional feature selection
Using genetic programming to evolve action selection rules in traversal-based automated software testing: results obtained with the TESTAR tool
Guest editorial: Memetic Algorithms for Evolutionary Multi-Objective Optimization
The Memetic Tree-based Genetic Algorithm and its application to Portfolio Optimization
Nonlinear dynamic system identification using recurrent neural network with multi-segment piecewise-linear connection weight
Kernel online sequential ELM algorithm with sliding window subject to time-varying environments
Dynamic function optimisation with hybridised extremal dynamics
A decomposition-based chemical reaction optimization for multi-objective vehicle routing problem for simultaneous delivery and pickup with time windows
An improved differential evolution algorithm for optimization including linear equality constraints
A hierarchical taxonomic survey of spiking neural networks
A simplex social spider algorithm for solving integer programming and minimax problems
Routing tree maintenance based on trajectory prediction in mobile sensor networks
An adaptive niching method based on multi-strategy fusion for multimodal optimization
Learning to estimate optical flow using dual-frequency paradigm
TL-MOMFEA: a transfer learning-based multi-objective multitasking optimization evolutionary algorithm
Adaptive variable space differential evolution algorithm based on population distribution
On recent computational results for a dynamic pickup and delivery problem
An algorithm portfolio for the dynamic maximal covering location problem
Opposition based lévy flight artificial bee colony
A knowledge-driven memetic algorithm for energy-aware flexible job shop scheduling with limited AGV transportation
A novel memetic algorithm and its application to data clustering
Design and simulation of FIR band pass and band stop filters using gravitational search algorithm
A bare-bones ant colony optimization algorithm that performs competitively on the sequential ordering problem
Integrating memetic search into the BioHEL evolutionary learning system for large-scale datasets
Editorial to the first issue
Elastic parameter inversion problem based on brain storm optimization algorithm
A reinforcement learning approach for the scheduling of live migration from under utilised hosts
A memetic algorithm with support vector machine for feature selection and classification
Modeling of loss aversion in solving fuzzy road transport traveling salesman problem using eugenic bacterial memetic algorithm
Performance evaluation of artificial bee colony optimization and new selection schemes
Bacterial memetic algorithm for offline path planning of mobile robots
A proposed novel enterprise cloud development application model
DICE: exploiting all bivariate dependencies in binary and multary search spaces
Driver profiling using trajectories on arbitrary roads by clustering roads and drivers successively
Baldwin effect and Lamarckian evolution in a memetic algorithm for Euclidean Steiner tree problem
Bi-level thresholding using PSO, Artificial Bee Colony and MRLDE embedded with Otsu method
Improving artificial bee colony with one-position inheritance mechanism
Adaptive brainstorm optimisation with multiple strategies
DSM-DE: a differential evolution with dynamic speciation-based mutation for single-objective optimization
A genotype-phenotype-fitness assessment protocol for evolutionary self-assembly Wang tiles design
Guest editorial: uncertainty modelling and intelligent information processing
Efficient automatically evolving convolutional neural network for image denoising
Erratum to: Architecture for development of adaptive on-line prediction models
Dynamic weighting label assignment for oriented object detection
A memetic algorithm for job shop scheduling using a critical-path-based local search heuristic
Offline data-driven optimization based on dual-scale surrogate ensemble
A multi-objective memetic algorithm based on decomposition for big optimization problems
Reference-lines-steered memetic multi-objective evolutionary algorithm with adaptive termination criterion
A memetic algorithm with optimal recombination for the asymmetric travelling salesman problem
Solving regression problem with complementary neural networks and an adjusted averaging technique
Learning believable game agents using sensor noise and action histogram
WRAO and OWA learning using Levenberg-Marquardt and genetic algorithms
Making and breaking power laws in evolutionary algorithm population dynamics
Local search methods for type I mixed-model two-sided assembly line balancing problems
Optimal incremental learning under covariate shift
Ensemble of simple optimizers
Design of hybrid regrouping PSO-GA based sub-optimal networked control system with random packet losses
A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems
Entropy-based evaluation function in a multi-objective approach for the investigation of the genetic code robustness
Gamma-mixture Bayesian method for anomalous coalmine pressure analysis
Bootstrap contrastive domain adaptation
Thematic issue on knowledge and data driven evolutionary multi-objective optimization
Multi-objective flow shop scheduling with limited buffers using hybrid self-adaptive differential evolution
A social approach for target localization: simulation and implementation in the marXbot robot
Evaluating the Multiple Offspring Sampling framework on complex continuous optimization functions
A Flattened-Tree Genetic Programming Approach with Multi-Scale Feature Extraction for Image Classification
GP-RARS: evolving controllers for the Robot Auto Racing Simulator
An efficient bilevel differential evolution algorithm with adaptation of lower level population size and search radius
Hybrid immune algorithm with Lamarckian local search for multi-objective optimization
A vision architecture for unconstrained and incremental learning of multiple categories
A multi-task multi-objective evolutionary algorithm for constrained multi-objective optimization problems
Constrained many-objective evolutionary algorithm based on adaptive infeasible ratio
Clinical causal analysis via iterative active structure learning
A differential evolution algorithm for numerical optimization based on the cosine-exponential population size adaptive method
Integrated scheduling problem for earth observation satellites based on three modeling frameworks: an adaptive bi-objective memetic algorithm
The break scheduling problem: complexity results and practical algorithms
A selection of useful theoretical tools for the design and analysis of optimization heuristics
EDDE-LNS: a new hybrid ensemblist approach for feature selection
Real-valued genetic algorithms with disagreements
Memetic algorithms for solving job-shop scheduling problems
A new modified panoramic UAV image stitching model based on the GA-SIFT and adaptive threshold method
On the choice of neighborhood sampling to build effective search operators for constrained MOPs
Solving the routing and wavelength assignment problem with a multilevel distributed memetic algorithm
Active object recognition using hierarchical local-receptive-field-based extreme learning machine
Optimizing ontology alignment through hybrid population-based incremental learning algorithm