yusuke1997/dblp-id-title huggingface dataset:
Self-organizing neighborhood-based differential evolution for global optimization
Improved group search optimization algorithm for coordination of directional overcurrent relays
An improved dynamic multi-objective robust evolutionary algorithm and application based on PSTL
A multiple leaders particle swarm optimization algorithm with variable neighborhood search for multiobjective fixed crowd carpooling problem
Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties
Genetic Algorithm optimised Chemical Reactors network: A novel technique for alternative fuels emission prediction
Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms
Novel search scheme for multi-objective evolutionary algorithms to obtain well-approximated and widely spread Pareto solutions
A cooperative coevolution framework for evolutionary learning and instance selection
Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment
Artificial life based on boids model and evolutionary chaotic neural networks for creating artworks
An intelligent automated guided vehicle scheduling framework for manufacturing: Balancing energy, efficiency, and task completion
TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting
A comprehensive review of firefly algorithms
Real-parameter evolutionary multimodal optimization - A survey of the state-of-the-art
Differential evolution based on individual information parameter setting and diversity measurement of aggregated distribution
Analysis of causality-driven changes of diffusion speed in non-Markovian temporal networks generated on the basis of differential evolution dynamics
Minimizing the sum of makespan on multi-agent single-machine scheduling with release dates
An improved migrating birds optimization for an integrated lot-streaming flow shop scheduling problem
Adaptive simulated binary crossover for rotated multi-objective optimization
Role of swarm and evolutionary algorithms for intrusion detection system: A survey
A multi-objective supply chain optimisation using enhanced Bees Algorithm with adaptive neighbourhood search and site abandonment strategy
A backtracking search hyper-heuristic for the distributed assembly flow-shop scheduling problem
Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization
Evolutionary and GPU computing for topology optimization of structures
An optimized multi-source feature extraction model with black-winged kite algorithm for hourly seamless PM2.5 estimation
Energy-efficient flexible job shop scheduling problem considering discrete operation sequence flexibility
Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem
Multiparty distance minimization: Problems and an evolutionary approach
Improved NSGA-III with selection-and-elimination operator
A two-stage three-machine assembly flow shop scheduling with learning consideration to minimize the flowtime by six hybrids of particle swarm optimization
Multi-attention-powered learning genetic algorithm for real-world 3D wind farm layout optimization
A constrained multi-objective evolutionary algorithm with two-stage resources allocation
A modified competitive swarm optimizer guided by space sampling for large-scale multi-objective optimization
Heuristics and metaheuristics for the mixed no-idle flowshop with sequence-dependent setup times and total tardiness minimisation
A hybrid meta-heuristic for the flexible flow shop scheduling with blocking
Quantum inspired genetic algorithm and particle swarm optimization using chaotic map model based interference for gray level image thresholding
Modelling and optimization of mixed-parallel straight and two-sided disassembly line balancing problem
An improved genetic algorithm and clone selection optimization-based gated recurrent unit networks for earthquake magnitude prediction
Voxelisation in the 3-D Fly Algorithm for PET
A genetic algorithm for unconstrained multi-objective optimization
Energy trading IoT system based on blockchain
A dueling double deep Q network assisted cooperative dual-population coevolutionary algorithm for multi-objective combined economic and emission dispatch problems
Robust and efficient swarm communication topologies for hostile environments
Evolving behavioral specialization in robot teams to solve a collective construction task
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms
A dynamic multi-objective optimization algorithm with a dual mechanism based on prediction and archive
Modeling and designing a robotic swarm: A quantum computing approach
A heuristic aided Stochastic Beam Search algorithm for solving the transit network design problem
A discrete multi-objective fireworks algorithm for flowshop scheduling with sequence-dependent setup times
Multiobjective evolutionary algorithm based on vector angle neighborhood
An adaptive hybrid neighborhood search algorithm for the electric vehicle pickup and delivery problem with time windows and partial charging
An augmented Tabu search algorithm for the green inventory-routing problem with time windows
A new cuckoo search algorithm for 2-machine robotic cell scheduling problem with sequence-dependent setup times
The scheduling problem with delivery and observation in collaboration after the disaster
Dynamic quadratic decomposition-based evolutionary algorithm for multi-objective fuzzy flexible jobshop scheduling
A failure remember-driven self-adaptive differential evolution with top-bottom strategy
A robust counterpart model and matheuristic-oriented evolutionary algorithm for evaluating energy consumption of project scheduling with uncertainty
A Novel Parametric benchmark generator for dynamic multimodal optimization
Context aware filtering using social behavior of frogs
Explicit and size-adaptive PSO-based feature selection for classification
Genetic programming with surrogate evaluation for the electric vehicle routing problem
Reliable network-level pavement maintenance budget allocation: Algorithm selection and parameter tuning matter
Learning-guided nondominated sorting genetic algorithm II for multi-objective satellite range scheduling problem
Decentralised aerial swarm for adaptive and energy efficient transport of unknown loads
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization
A parallel Fruchterman-Reingold algorithm optimized for fast visualization of large graphs and swarms of data
Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization
An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization
Surrogate information transfer and fusion in high-dimensional expensive optimization problems
Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem
Dual-metric guided multi-strategy hybrid optimization for feature selection on high-dimensional medical data
Constrained multi-objective optimization via two archives assisted push-pull evolutionary algorithm
A review of static and dynamic charging in electric vehicle routing: Transition, algorithms and future directions
Modified Teaching-Learning-Based Optimization algorithm for global numerical optimization - A comparative study
Parallel improved quantum inspired evolutionary algorithm to solve large size Quadratic Knapsack Problems
A hierarchical gravitational search algorithm with an effective gravitational constant
Surrogate-assisted evolutionary algorithms for a bilevel location and latency-oriented routing problem
Learning-assisted improvements in Adaptive Variable Neighborhood Search
Gaussian process regression for evolutionary dynamic multiobjective optimization in complex environments
Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends
Tracing the evolution of Particle Swarm Optimization in scheduling: A systematic review using main path analysis
Adam-assisted quantum particle swarm optimization guided by length of potential well for numerical function optimization
Comparison of nature-inspired population-based algorithms on continuous optimisation problems
Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization
Multi-task differential evolution algorithm with dynamic resource allocation: A study on e-waste recycling vehicle routing problem
A reinforcement learning-driven adaptive decomposition algorithm for multi-objective hybrid seru system scheduling considering worker transfer
An enhanced LSHADE-based algorithm for global and constrained optimization in applied mechanics and power flow problems
Q -learning based multi-objective immune algorithm for fuzzy flexible job shop scheduling problem considering dynamic disruptions
Parameter-less Pareto local search for multi-objective neural architecture search with the Interleaved Multi-start Scheme
Local search based hybrid particle swarm optimization algorithm for multiobjective optimization
Solving multi-objective portfolio optimization problem using invasive weed optimization
Using autonomous search for solving constraint satisfaction problems via new modern approaches
A novel scalable test problem suite for multimodal multiobjective optimization
Multi-objective optimization based efficient resource scheduling scheme for infrastructure as a service cloud computing
An artificial bee colony algorithm for image contrast enhancement
An efficient two-level swarm intelligence approach for RNA secondary structure prediction with bi-objective minimum free energy scores
A novel particle swarm optimization algorithm with Lévy flight and orthogonal learning
Magnetic-inspired optimization algorithms: Operators and structures
Optimization techniques and applications in fog computing: An exhaustive survey
A stigmergic approach to teaching-learning-based optimization for continuous domains
Grammatical evolution for constraint synthesis for mixed-integer linear programming
A large-scale multiobjective satellite data transmission scheduling algorithm based on SVM+NSGA-II
Integrated scheduling problems of open shop and vehicle routing using an ensemble of group teaching optimization and simulated annealing
Using a self-adaptive neighborhood scheme with crowding replacement memory in genetic algorithm for multimodal optimization
An evolutionary task scheduling algorithm using fuzzy fitness evaluation method for communication satellite network
The SVD-enhanced bees algorithm, a novel procedure for point cloud registration
Handling objective preference and variable uncertainty in evolutionary multi-objective optimization
Hierarchical evolutionary classification framework for human action recognition using sparse dictionary optimization
Evolutionary heterogeneous clustering for rating prediction based on user collaborative filtering
Decomposition with adaptive composite norm for evolutionary multi-objective combinatorial optimization
An indicator-based multi-objective variable neighborhood search approach for query-focused summarization
A novel design of differential evolution for solving discrete traveling salesman problems
DJAYA-RL: Discrete JAYA algorithm integrating reinforcement learning for the discounted {0-1} knapsack problem
Optimal prediction intervals for macroeconomic time series using chaos and evolutionary multi-objective optimization algorithms
A novel preference-driven evolutionary algorithm for dynamic multi-objective problems
Editorial: Memetic Computing: Accelerating optimization heuristics with problem-dependent local search methods
A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction
A hybrid genetic tabu search algorithm for distributed job-shop scheduling problems
A decimal artificial bee colony with elite strategy for the cutting stock problem with irregular items
Two-stage evolutionary algorithm with fuzzy preference indicator for multimodal multi-objective optimization
Blocking flowshop scheduling problems with release dates
User-preference based decomposition in MOEA/D without using an ideal point
A novel teaching-learning based optimization approach for design of broad-band anti-reflection coatings
Optimal financial portfolio selection using a metaheuristic approach with multiple strategies
Using decomposition-based multi-objective evolutionary algorithm as synthetic example optimization for self-labeling
Swarm Intelligent Search and Rescue method for economic emission load dispatch of renewable integrated power system considering uncertainty
Nonlinear hysteretic parameter identification using an improved tree-seed algorithm
A memetic algorithm for multi-objective optimization of the home health care problem
Adaptive information fusion-driven evolutionary algorithm via balancing the information from unconstrained and constrained pareto fronts
Multidimensional genetic programming for multiclass classification
A guided genetic programming with attribute node activation encoding for resource constrained project scheduling problem
Editorial of the special issue on differential evolution
Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment
Hybrid loading situation vehicle routing problem in the context of agricultural harvesting: A reconstructed MOEA/D with parallel populations
MFWOA: Multifactorial Whale Optimization Algorithm
Regional-modal optimization problems and corresponding normal search particle swarm optimization algorithm
Choice of benchmark optimization problems does matter
A Bumble Bees Mating Optimization algorithm for the Open Vehicle Routing Problem
Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization
Efficient three-stage surrogate-assisted differential evolution for expensive optimization problems
Deterministic scaffold assembly by self-reconfiguring micro-robotic swarms
Synthesis of Mathematical Programming models with one-class evolutionary strategies
Analysis of high-dimensional biomedical data using an evolutionary multi-objective emperor penguin optimizer
Large language models as surrogate models in evolutionary algorithms: A preliminary study
Particle swarm optimization algorithm based on comprehensive scoring framework for high-dimensional feature selection
Exploring interpretable evolutionary optimization via significance of each constraint and population diversity
A multiobjective differential evolution algorithm with subpopulation region solution selection for global and local Pareto optimal sets
Novel performance metrics for robust multi-objective optimization algorithms
Thermal parameter identification of concrete dams based on hybrid particle swarm optimization using distributed optical fiber monitoring data
From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013-2023)
oBABC: A one-dimensional binary artificial bee colony algorithm for binary optimization
Deep crossover schemes for genetic algorithms: Investigations on the travel salesman problem
Two-phase protein folding optimization on a three-dimensional AB off-lattice model
Improved ant colony optimization for the vehicle routing problem with split pickup and split delivery
Competitive Swarm Optimizer: A decade survey
A self-organizing weighted optimization based framework for large-scale multi-objective optimization
Reinforcement learning for enhanced online gradient-based parameter adaptation in metaheuristics
Solving sparse multi-objective optimization problems via dynamic adaptive grouping and reward-penalty sparse strategies
Random projection enhancement: A Novel method for improving performance of surrogate models
Promising boundaries explore and resource allocation evolutionary algorithm for constrained multiobjective optimization
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization
A Physarum-inspired algorithm for logistics optimization: From the perspective of effective distance
Discrete pigeon-inspired optimization algorithm with Metropolis acceptance criterion for large-scale traveling salesman problem
An evolutionary algorithm based on learning strategies and a predictive model for constrained optimization problems
Efficient visualization of social networks based on modified Sammon's mapping
A novel two-phase evolutionary algorithm for solving constrained multi-objective optimization problems
Automatic collective motion tuning using actor-critic deep reinforcement learning
Enhanced multi-swarm cooperative particle swarm optimizer
Learning-infused optimization for evolutionary computation
Evolving heuristics for the resource constrained project scheduling problem with dynamic resource disruptions
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time
Improved gene expression programming to solve the inverse problem for ordinary differential equations
Comparison of emerging metaheuristic algorithms for optimal hydrothermal system operation
Selection hyperheuristic with knowledge-based Q-learning for dynamic distributed hybrid flow shop scheduling problem considering operation inspection
An adaptive hybrid MEMD-Transformer-BiGRU model using MPA algorithm for air quality prediction
Optimization of Lennard-Jones clusters by particle swarm optimization with quasi-physical strategy
A parameter-free discrete particle swarm algorithm and its application to multi-objective pavement maintenance schemes
A recursive framework for improving the performance of multi-objective differential evolution algorithms for gene selection
Multi-guiding spark fireworks algorithm: Solving multimodal functions by multiple guiding sparks in fireworks algorithm
Industrial activated sludge model identification using hyperparameter-tuned metaheuristics
Benchmark problems for large-scale constrained multi-objective optimization with baseline results
Inferring P systems from their computing steps: An evolutionary approach
Recent advances in swarm and evolutionary computation-foreword
An improved problem transformation algorithm for large-scale multi-objective optimization
New heterogeneous comprehensive learning particle swarm optimizer enhanced with low-discrepancy sequences and conjugate gradient method
Spherical search with epsilon constraint and gradient-based repair framework for constrained optimization
Agent-based game theoretic model for block motion estimation and its multicore implementation
A particle swarm optimization algorithm for mixed-variable optimization problems
A knowledge-guided evolutionary algorithm incorporating reinforcement learning for energy efficient dynamic flexible job shop scheduling problem with machine breakdowns
An evolutionary optimization-learning hybrid algorithm for energy resource management
A two-stage cross-neighborhood search algorithm bridging different solution representation spaces for solving the hybrid flow shop scheduling problem
Multi-objective optimization of a quadrotor flock performing target zone search
A dynamic multiobjective evolutionary algorithm based on a dynamic evolutionary environment model
Memetic algorithm for minimum energy broadcast problem in wireless ad hoc networks
Ageist Spider Monkey Optimization algorithm
A multi-strategy integrated multi-objective artificial bee colony for unsupervised band selection of hyperspectral images
Multimodal optimization problem in contamination source determination of water supply networks
Multiple strategies based Grey Wolf Optimizer for feature selection in performance evaluation of open-ended funds
Lightweight bi-level optimization algorithm for synchronized scheduling of production and transportation in a reconfigurable flexible job shop
Deep reinforcement learning for multi-objective combinatorial optimization: A case study on multi-objective traveling salesman problem
LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions
Failure-aware resource provisioning for hybrid computation offloading in cloud-assisted edge computing using gravity reference approach
On the use of two reference points in decomposition based multiobjective evolutionary algorithms
Fast thresholded concordance probability for evolutionary optimization
An ensemble knowledge transfer framework for evolutionary multi-task optimization
Multimodal multiobjective optimization with differential evolution
Multi-objective evolution of oblique decision trees for imbalanced data binary classification
Approaches to the truck-drone routing problem: A systematic review
Finding an optimised infrastructure for electricity distribution networks in rural areas - A comparison of different approaches
Redefined decision variable analysis method for large-scale optimization and its application to feature selection
A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization
Enhancement of collaborative communication using optimized dynamic density graph convolutional networks in IoT-enabled intelligent surfaces
Decomposition-based multi-objective evolutionary algorithm for bi-optimal selection
A new learning-based adaptive multi-objective evolutionary algorithm
A large-scale optimization algorithm based on variable decomposition and space compression
Performance investigations of genetic algorithms on graphics cards
A HPSO for solving dynamic and discrete berth allocation problem and dynamic quay crane assignment problem simultaneously
A decomposition-based many-objective ant colony optimization algorithm with adaptive solution construction and selection approaches
A multi-granularity clustering based evolutionary algorithm for large-scale sparse multi-objective optimization
Frequent pattern mining assisted energy consumption evolutionary optimization approach based on surrogate model at GCC compile time
An Improved Ant Colony Optimization algorithm to the Periodic Vehicle Routing Problem with Time Window and Service Choice
Front guided surrogate-assisted evolutionary algorithm with adaptive selection of three-branch infill criteria for expensive many-objective optimization
An evolutionary correlation-aware feature selection method for classification problems
Global-best brain storm optimization algorithm
Multi-objective energy-efficient scheduling of distributed heterogeneous hybrid flow shops via multi-agent double deep Q-Network
Hybrid artificial bee colony algorithm with Q-learning for distributed heterogeneous flexible job shop scheduling problem considering machine preventive maintenance
Application of hybrid heuristic optimization algorithms for solving optimal regional dispatch of energy and reserve considering the social welfare of the participating markets
A cloud 15kV-HDPE insulator leakage current classification based improved particle swarm optimization and LSTM-CNN deep learning approach
Enhancing automatically designed relocation rules with the rollout algorithm
On maximizing reliability of grid transaction processing system considering balanced task allocation using social spider optimization
Multi-Objective Optimization for Distributed Generator and Shunt Capacitor Placement Considering Voltage-Dependent Nonlinear Load Models
A survey on vehicle-drone cooperative delivery operations optimization: Models, methods, and future research directions
Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems
Unsupervised feature selection based on bio-inspired approaches
A distributed multi-agent deep reinforcement learning approach for dynamic beam hopping optimization in LEO mega-constellations
An improved differential evolution with information intercrossing and sharing mechanism for numerical optimization