yusuke1997/dblp-id-title huggingface dataset:
Multi-population genetic algorithm with crowding-based local search for fuzzy multi-objective supply chain configuration
On the elusivity of dynamic optimisation problems
Evolutionary algorithm based on multi-probability distribution model for stochastic optimization
Double-space environmental change detection and response strategy for dynamic multi-objective optimize problem
Multi-objective planning of electrical distribution systems incorporating sectionalizing switches and tie-lines using particle swarm optimization
Feasibility-ratio based sequencing for computationally efficient constrained optimization
Constrained multi-objective optimization with dual-swarm assisted competitive swarm optimizer
Make robots be bats: specializing robotic swarms to the Bat algorithm
COOA: Competitive optimization algorithm
Parallel multi-objective optimization for expensive and inexpensive objectives and constraints
Swarm intelligence inspired classifiers for facial recognition
A similarity-detection-based evolutionary algorithm for large-scale multimodal multi-objective optimization
A supervised parallel optimisation framework for metaheuristic algorithms
Optimization approaches for the urban delivery problem with trucks and drones
On botnet detection with genetic programming under streaming data label budgets and class imbalance
Deep reinforcement learning-based memetic algorithm for solving dynamic distributed green flexible job shop scheduling problem with finite transportation resources
A survey of swarm intelligence for dynamic optimization: Algorithms and applications
A hybrid intelligent algorithm by combining particle swarm optimization with chaos searching technique for solving nonlinear bilevel programming problems
GEFS-AO: A novel graph-based evolutionary feature selection method from the view of auxiliary optimization
An interval evolutionary algorithm based on dynamic relation adjustment strategy for many-objective problems
Surrogate-assisted expensive constrained Bi-objective optimization with highly heterogeneous evaluations
Hierarchical multi-objective optimization for precise performance design of closed-chain legged mechanisms
A two-phase evolutionary algorithm for multi-objective distributed assembly permutation flowshop scheduling problem
A distribution evolutionary algorithm for the graph coloring problem
A hybrid particle swarm with a time-adaptive topology for constrained optimization
A comprehensive survey on gravitational search algorithm
Applying graph-based differential grouping for multiobjective large-scale optimization
Hiding region constraints for black-box optimization. Application to camera placement in a virtual industrial environment using Evolutionary Computation
Incorporating gradient information into dimension perturbation mutation for high-dimensional expensive optimization
Adaptive population extremal optimization-based PID neural network for multivariable nonlinear control systems
Prediction based mean-variance model for constrained portfolio assets selection using multiobjective evolutionary algorithms
Accelerated multi-gravitational search algorithm for size optimization of truss structures
A solution potential-based adaptation reference vector evolutionary algorithm for many-objective optimization
Noise insensitive optimal harmonic estimator design with lightning search algorithm
A rotationally invariant semi-autonomous particle swarm optimizer with directional diversity
Multi-objective optimization-assisted single-objective differential evolution by reinforcement learning
EABC-AS: Elite-driven artificial bee colony algorithm with adaptive population scaling
Constraint-handling in nature-inspired numerical optimization: Past, present and future
Quasi-oppositional symbiotic organism search algorithm applied to load frequency control
Detection and diagnosis of node failure in wireless sensor networks: A multiobjective optimization approach
Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy Optimization to the iSOMA algorithm
Two metaheuristics for routing and spectrum allocation in cloud-ready survivable elastic optical networks
Semantic approximation for reducing code bloat in Genetic Programming
An evolutionary clustering algorithm based on temporal features for dynamic recommender systems
Dynamic performance evaluation of evolutionary multi-objective optimization algorithms for gait cycle optimization of a 25-DOFs NAO humanoid robot
Formulating approximation error as noise in surrogate-assisted multi-objective evolutionary algorithm
An enhanced Kalman filtering and historical learning mechanism driven estimation of distribution algorithm
A hybrid enhanced bat algorithm for the generalized redundancy allocation problem
Visualization and analysis of Pareto-optimal fronts using interpretable self-organizing map (iSOM)
Multi-pass planning for multi-vehicle cooperative urban demining: A knowledge-driven evolutionary approach with RL-enhanced neighborhood search
A feasible method for controlled intentional islanding in microgrids based on PSO algorithm
Multi-objective dynamic economic emission dispatch considering the risk of wind power-electric vehicle interaction using teaching-learning-based optimization algorithm
Improved particle swarm optimization with reverse learning and neighbor adjustment for space surveillance network task scheduling
A decomposition-based multi-objective evolutionary algorithm with quality indicator
An efficient hybrid metaheuristics optimization technique applied to the AC electric transmission network expansion planning
Handling time-varying constraints and objectives in dynamic evolutionary multi-objective optimization
A survey of genetic algorithms for clustering: Taxonomy and empirical analysis
PheroCom: Decentralised and asynchronous robot swarm coordination framework based on virtual pheromone and vibroacoustic communication
A reinforcement learning-enhanced multi-objective Co-evolutionary algorithm for distributed group scheduling with preventive maintenance
Metaheuristic algorithms for computing capacitated dominating set with uniform and variable capacities
A scalable and distributed dendritic cell algorithm for big data classification
Solving dynamic multimodal optimization problems via a niching-based brain storm optimization with two archives algorithm
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization
Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm
Solving nonlinear equations systems with a new approach based on invasive weed optimization algorithm and clustering
Evolution on trees: On the design of an evolution strategy for scenario-based multi-period portfolio optimization under transaction costs
Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing
Decomposition-based multi-objective evolutionary algorithm for virtual machine and task joint scheduling of cloud computing in data space
An effective multi-objective evolutionary algorithm for multiple spraying robots task assignment problem
A model of new workers' accurate acceptance of tasks using capable sensing
Hybrid metaheuristic algorithms for image watermarking: An experimental study
GTG-ACO: Graph Transformer Guided Ant Colony Optimization for learning heuristics and pheromone dynamics for combinatorial optimization
Two-stage differential evolution with dynamic population assignment for constrained multi-objective optimization
Load frequency control of interconnected power system using grey wolf optimization
A niching indicator-based multi-modal many-objective optimizer
Evolutionary algorithm using conditional expectation value for quadratic assignment problem
An Adaptive Memetic Approach for Heterogeneous Vehicle Routing Problems with two-dimensional loading constraints
A hybrid granular-evolutionary computing method for cooperative scheduling optimization on integrated energy system in steel industry
A cooperative discrete artificial bee colony algorithm with Q-learning for solving the distributed permutation flowshop group scheduling problem with preventive maintenance
Multi-agent coalition formation by an efficient genetic algorithm with heuristic initialization and repair strategy
Multi-Agent Reinforcement Learning for task allocation in the Internet of Vehicles: Exploring benefits and paving the future
A two-swarm cooperative particle swarms optimization
Empirical investigations into the exponential crossover of differential evolutions
The IGD-based prediction strategy for dynamic multi-objective optimization
An ensemble reinforcement learning-assisted deep learning framework for enhanced lung cancer diagnosis
Stability of Pareto optimal allocation of land reclamation by multistage decision-based multipheromone ant colony optimization
An adaptive co-evolutionary competitive particle swarm optimizer for constrained multi-objective optimization problems
Multi-objective heterogeneous vehicle routing and scheduling problem with energy minimizing
An improved cuckoo search based extreme learning machine for medical data classification
Surrogate-Assisted Niching Differential Evolution for hyperparameter optimization in Convolutional Neural Networks
Integrated scheduling in sea-rail intermodal terminals with flexible transshipment routes
A local search-based many-objective five-element cycle optimization algorithm
ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism
Optimal predictive load frequency control with multi-objective PID-based search algorithm
Scheduling in a three-stage remanufacturing system with machine blockage, deterioration and maintenance using metaheuristic algorithm
Binary Grey Wolf Optimizer for large scale unit commitment problem
Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning
A novel scalable network architecture for the evolution of robot swarm networks with dual connectivity application in control-data plane
A genetic algorithm inspired optimized cluster head selection method in wireless sensor networks
A reference vector based multiobjective evolutionary algorithm with Q-learning for operator adaptation
A node-depth phylogenetic-based artificial immune system for multi-objective Network Design Problems
A data-driven model assisted hybrid genetic algorithm for a two-dimensional shelf space allocation problem
Step-by-step improvement of JADE and SHADE-based algorithms: Success or failure?
Adaptive differential evolution with ensembling operators for continuous optimization problems
A novel adaptive optimization scheme for advancing metaheuristics and global optimization
Non-probabilistic set-based selection strategy for multi-objective optimization with interval uncertainties
Ant colony system with a novel Non-DaemonActions procedure for multiprocessor task scheduling in multistage hybrid flow shop
A problem knowledge driven bi-population cooperative framework for time-varying ratio error estimation of voltage transformers
A constrained many-objective evolutionary algorithm with learning vector quantization-based reference point adaptation
Learning to search promising regions by space partitioning for evolutionary methods
Designing problem-specific operators for solving the Cell Switch-Off problem in ultra-dense 5G networks with hybrid MOEAs
Multiobjective evolutionary algorithms: A survey of the state of the art
Tuning of neural networks using particle swarm optimization to model MIG welding process
DQL-assisted competitive evolutionary algorithm for energy-aware robust flexible job shop scheduling under unexpected disruptions
An interactive filter-wrapper multi-objective evolutionary algorithm for feature selection
Spark implementation of the enhanced Scatter Search metaheuristic: Methodology and assessment
Solving dynamic overlapping community detection problem by a multiobjective evolutionary algorithm based on decomposition
Bi-level Voronoi strategy for cooperative search and coverage
Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty
Parrot optimization algorithm for improved multi-strategy fusion for feature optimization of data in medical and industrial field
Boosting classification accuracy using an efficient stochastic optimization technique for feature selection in high-dimensional data
Application of metaheuristics for signal optimisation in transportation networks: A comprehensive survey
Surrogate-assisted two-stage cooperative differential evolution for expensive constrained multimodal optimization problems
A high-dimensional feature selection algorithm via fast dimensionality reduction and multi-objective differential evolution
A single-objective Sequential Search Assistance-based Multi-Objective Algorithm Framework
Hyper-Heuristics to customise metaheuristics for continuous optimisation
Evolutionary multi-task allocation for mobile crowdsensing with limited resource
A genetic programming hyper-heuristic for the distributed assembly permutation flow-shop scheduling problem with sequence dependent setup times
A consensus optimization mechanism with Q-learning-based distributed PSO for large-scale group decision-making
On reconfiguring heterogeneous parallel island models
Framework of model selection criteria approximated genetic programming for optimization function for renewable energy systems
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
WITHDRAWN: Corrigendum to "Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application" [Swarm and Evolutionary Computation 63 (2021) 1-40/100868]
A novel competitive constrained dual-archive dual-stage evolutionary algorithm for constrained multiobjective optimization
ERLNEIL-MDP: Evolutionary reinforcement learning with novelty-driven exploration for medical data processing
Complexity, interpretability and robustness of GP-based feature engineering in remote sensing
DAFSP with limited assembly buffers: A deadlock-free coding-decoding paradigm and hybrid cooperative co-evolutionary approach
Bound constraints handling in Differential Evolution: An experimental study
An optima-identified framework with brain storm optimization for multimodal optimization problems
A comparative performance assessment of a set of multiobjective algorithms for constrained portfolio assets selection
Effective heuristics for ant colony optimization to handle large-scale problems
Multiobjective evolutionary algorithms based on target region preferences
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming
MOEA/D with customized replacement neighborhood and dynamic resource allocation for solving 3L-SDHVRP
An objective reduction algorithm based on population decomposition and hyperplane approximation
Swarm intelligence for optimizing the parameters of multiple sequence aligners
Variable neighborhood search for a new practical dynamic pickup and delivery problem
AutoMoDe-Mate: Automatic off-line design of spatially-organizing behaviors for robot swarms
A heuristic distributed and no-wait method for solving multiagent task allocation problems with coupled temporal constraints
A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times
Multi-dimensional signaling method for population-based metaheuristics: Solving the large-scale scheduling problem in smart grids
A self-adaptive co-evolutionary algorithm for multi-objective flexible job-shop rescheduling problem with multi-phase processing speed selection, condition-based preventive maintenance and dynamic repairman assignment
Surrogate-guided differential evolution algorithm for high dimensional expensive problems
Alternating curvature-driven evolutionary genetic algorithm for cable insulation thickness measurement
Analysis and multi-objective optimization of a kind of teaching manipulator
Differential evolution for the optimization of low-discrepancy generalized Halton sequences
Reinforcement learning assisted differential evolution with adaptive resource allocation strategy for multimodal optimization problems
Metaheuristics for variable-size mixed optimization problems: A unified taxonomy and survey
A Two-stage Surrogate-Assisted Evolutionary Algorithm (TS-SAEA) for Expensive Multi/Many-objective Optimization
Clustering mixed data using multi-objective bacterial colony optimization with diverse learning mechanisms
A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems
The influence of franchisee loss on logistics network: A new perspective from NK model
Discrete honeybee mating optimization algorithm for the routing of battery-operated automated guidance electric vehicles in personal rapid transit systems
A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems
Collaborative Q-learning hyper-heuristic evolutionary algorithm for the production and transportation integrated scheduling of silicon electrodes
A methodology for multi-label algorithm selection in constrained multiobjective optimization
Automatic prompt design via particle swarm optimization driven LLM for efficient medical information extraction
Alignment-based genetic programming for real life applications
Grid search based multi-population particle swarm optimization algorithm for multimodal multi-objective optimization
hGRGA: A scalable genetic algorithm using homologous gene schema replacement
Diversity-guided particle swarm optimization with multi-level learning strategy
Multi-objective evolutionary neural architecture search for network intrusion detection
An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis
Optimal test sequence generation using firefly algorithm
An artificial bee colony algorithm with a Modified Choice Function for the traveling salesman problem
Solving the storage location assignment of large-scale automated warehouse based on dynamic vortex search algorithm
An efficient side lobe reduction technique considering mutual coupling effect in linear array antenna using BAT algorithm
How can surrogates influence the convergence of evolutionary algorithms?
Reinforcement learning-based particle swarm optimization with neighborhood differential mutation strategy
Multi-objective interval portfolio optimization modeling and solving for margin trading
A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion
Integrated frequency and power control of an isolated hybrid power system considering scaling factor based fuzzy classical controller
Optimal design of shunt active power filter for power quality enhancement using predator-prey based firefly optimization
Differential evolution using improved crowding distance for multimodal multiobjective optimization
Multi-objective optimization for distributed flexible job shop scheduling problem with job priority
PCA-assisted reproduction for continuous multi-objective optimization with complicated Pareto optimal set
An ant colony optimization technique for solving min-max Multi-Depot Vehicle Routing Problem
Triple competitive differential evolution for global numerical optimization
Large-scale power system multi-area economic dispatch considering valve point effects with comprehensive learning differential evolution
Multi-criteria algorithms for portfolio optimization under practical constraints
Stable matching of shared manufacturing resources based on IMPSO algorithm under hesitant fuzzy information
A knowledge-driven memetic algorithm for the energy-efficient distributed homogeneous flow shop scheduling problem
Withdrawal notice to: ' WITHDRAWN: Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application' Swarm and Evolutionary Computation 63 (2021) 1-40/100868'
A multi-objective adaptive evolutionary algorithm to extract communities in networks
2017 IEEE competition on modern heuristic optimizers for smart grid operation: Testbeds and results
Success rates analysis of three hybrid algorithms on SAT instances
A quantum-inspired genetic algorithm for solving the antenna positioning problem
A two-stage ensemble evolutionary algorithm for constrained multi-objective optimization
A novel framework for improving multi-population algorithms for dynamic optimization problems: A scheduling approach
A constrained multi-objective evolutionary algorithm for multi-class instance selection
A new genetic algorithm based evolutionary neural architecture search for image classification
A hybrid memetic-ant colony optimization algorithm for the home health care problem with time window, synchronization and working time balancing
Remanufacturing scheduling under uncertainty considering remanufacturability assessment with adaptive hybrid optimization algorithm
A difference vector angle dominance relation for expensive multi-objective optimization
Collaborative multi-CP model and meta-feedback learning-assisted matheuristic for solving the flexible job shop scheduling problem with sequence-dependent setup times
Ensemble strategy using particle swarm optimisation variant and enhanced local search capability
An efficient biogeography based optimization algorithm for solving reliability optimization problems
An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization
Optimization of tile manufacturing process using particle swarm optimization
Binary grey wolf optimizer models for profit based unit commitment of price-taking GENCO in electricity market
Analysis of particle swarm optimization based hierarchical data clustering approaches
Quantum-enhanced multiobjective large-scale optimization via parallelism
Adaptive distance-based multi-objective particle swarm optimization algorithm with simple position update
A compass-based hyper-heuristic for multi-objective optimization problems
Quantum Inspired Social Evolution (QSE) algorithm for 0-1 knapsack problem
A hybrid algorithm incorporating sequencing flexibility for integrated process planning and scheduling problem
Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time
Adaptive filtering of EEG/ERP through noise cancellers using an improved PSO algorithm
Integrated harvest and distribution scheduling of fresh agricultural products for multiple farms using a Q-learning-based artificial bee colony algorithm with problem knowledge
A variant of united multi-operator evolutionary algorithms with application to livestock feed ration optimization
3D-RadVis Antenna: Visualization and performance measure for many-objective optimization
Deep reinforcement learning assisted novelty search in Voronoi regions for constrained multi-objective optimization
A hybrid estimation of distribution algorithm for distributed flexible job shop scheduling with crane transportations
Towards multi-objective high-dimensional feature selection via evolutionary multitasking
A novel BRKGA for the customer order scheduling with missing operations to minimize total tardiness
Multiobjective in-core nuclear fuel management optimisation by means of a hyperheuristic
Investigating aesthetic measures for unsupervised evolutionary art
Population-level center-based sampling for meta-heuristic algorithms
Graph structure optimization of Genetic Network Programming with ant colony mechanism in deterministic and stochastic environments
Deep Q-network assisted variable neighborhood search algorithm for berth allocation considering berth shifting in dry bulk terminals
A genetic algorithm with critical path-based variable neighborhood search for distributed assembly job shop scheduling problem
Network decomposition using Kernighan-Lin strategy aided harmony search algorithm
Estimation of transformer parameters from nameplate data by imperialist competitive and gravitational search algorithms
A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization