yusuke1997/dblp-id-title huggingface dataset:
Detecting composite communities in multiplex networks: A multilevel memetic algorithm
Research on particle swarm optimization based clustering: A systematic review of literature and techniques
Energy-aware evolutionary routing protocol for dynamic clustering of wireless sensor networks
Efficient use of heuristics for accelerating XCS-based policy learning in Markov games
A survey on evolutionary algorithms dynamics and its complexity - Mutual relations, past, present and future
An indicator-based multi-objective evolutionary algorithm assisted by improved graph convolutional networks
Empirical study on rotation and information exchange in particle swarm optimization
HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information
Novel MINLP model and Lamarckian learning-enhanced multi-objective optimization algorithm for smart household appliance scheduling
A feasibility restoration particle swarm optimizer with chaotic maps for two-stage fixed-charge transportation problems
A constraint handling technique for constrained multi-objective genetic algorithm
An archive-based two-stage evolutionary algorithm for constrained multi-objective optimization problems
Multioperator search strategy for evolutionary multiobjective optimization
A clustering-assisted adaptive evolutionary algorithm based on decomposition for multimodal multiobjective optimization
Random convergence analysis of particle swarm optimization algorithm with time-varying attractor
A dynamic task-assisted constrained multimodal multi-objective optimization algorithm based on reinforcement learning
Genetic algorithms with permutation-based representation for computing the distance of linear codes
A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization
A GPU-based hybrid jDE algorithm applied to the 3D-AB protein structure prediction
Potential-driven multi-learning particle swarm optimisation
Bio-inspired methods modeled for respiratory disease detection from medical images
A cluster-based clonal selection algorithm for optimization in dynamic environment
Study of population partitioning techniques on efficiency of swarm algorithms
A robust clustering method based on blind, naked mole-rats (BNMR) algorithm
A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones
A novel adaptive greedy strategy based on Gaussian mixture clustering for multiobjective optimization
Adaptive approach to regulate task distribution in swarm robotic systems
Self-adaptive control parameters' randomization frequency and propagations in differential evolution
An efficient scheduling approach for an iron-steel plant equipped with self-generation equipment under time-of-use electricity tariffs
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems
A novel deep self-learning method for flexible job-shop scheduling problems with multiplicity: Deep reinforcement learning assisted the fluid master-apprentice evolutionary algorithm
An improved adaptive hybrid algorithm for solving distributed flexible job shop scheduling problem
Community detection in social networks based on fire propagation
Multimodal multiobjective differential evolution algorithm based on enhanced decision space search
Dynamic impact for ant colony optimization algorithm
A collaborative optimization algorithm for energy-efficient multi-objective distributed no-idle flow-shop scheduling
LIBEA: A Lebesgue Indicator-Based Evolutionary Algorithm for multi-objective optimization
Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization
A metaheuristic optimization approach to discretize the fractional order Laplacian operator without employing a discretization operator
An adaptive parental guidance strategy and its derived indicator-based evolutionary algorithm for multi- and many-objective optimization
Parallel genetic algorithms on hybrid servers: Design, implementation, and optimization for performance and energy
A novel adaptive algorithm of particle swarm optimization based on the human social learning intelligence
A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting
Multi-modal multi-objective wolf pack algorithm with circumferential scouting and intra-niche interactions
A novel molecular docking program based on a multi-swarm competitive algorithm
Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests
A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing
A relation learning-assisted algorithm with knee point transfer for expensive dynamic multi-objective optimization
A memetic algorithm to optimize critical diameter
AB-GEP: Adversarial bandit gene expression programming for symbolic regression
A survey on nature inspired metaheuristic algorithms for partitional clustering
Evolution strategies for continuous optimization: A survey of the state-of-the-art
Efficient search of decision makers' region of interest by using preference directions in multi-objective coevolutionary algorithm
A new approach to multi-aircraft air combat assignments
Block optimization and switchable hybrid clustering for multimodal multiobjective evolutionary optimization with shifted local Pareto front
Elite archives-driven particle swarm optimization for large scale numerical optimization and its engineering applications
Opposition based learning: A literature review
Collaborative status control-based energy-aware scheduling for distributed hybrid machine shop using utilization-efficient intermingled optimization
Greedy randomized adaptive search and benders decomposition algorithms to solve the distributed no-idle permutation flowshop scheduling problem
Automatically configuring ACO using multilevel ParamILS to solve transportation planning problems with underlying weighted networks
Cluster and reinforcement learning-based multi-objective evolutionary algorithm for joint scheduling of virtual machines and prioritize tasks in cloud computing
A Fast and efficient stochastic opposition-based learning for differential evolution in numerical optimization
A particle swarm optimization-based deep clustering algorithm for power load curve analysis
Structural damage detection using artificial bee colony algorithm with hybrid search strategy
Probing the fitness landscape of the influential nodes for the influence maximization problem in social networks
An adaptive biogeography-based optimization with cumulative covariance matrix for rule-based network intrusion detection
Self-organizing migrating algorithm using covariance matrix adaptation evolution strategy for dynamic constrained optimization
A surrogate-assisted hybrid swarm optimization algorithm for high-dimensional computationally expensive problems
Frontier-led swarming: Robust multi-robot coverage of unknown environments
Multiobjective trajectory optimization with a cutting and padding encoding strategy for single-UAV-assisted mobile edge computing system
Swarm intelligence optimization-based fusion of ConvMixer-enhanced deep neural networks for brain tumor detection
Evolutionary Algorithm with Dynamic Population Size for Constrained Multiobjective Optimization
Diversity-enhanced hyper-heuristics for multi-objective dynamic flexible job shop scheduling
A novel probabilistically-guided context-sensitive crossover operator for clustering
Comprehensive preference optimization of an irreversible thermal engine using pareto based mutable smart bee algorithm and generalized regression neural network
An efficient hybrid metaheuristic algorithm for cardinality constrained portfolio optimization
Using animal instincts to design efficient biomedical studies via particle swarm optimization
On the adaptation of reference sets using niching and pair-potential energy functions for multi-objective optimization
A Discrete and Improved Bat Algorithm for solving a medical goods distribution problem with pharmacological waste collection
A Surrogate-Based Optimization Method with Dynamic Adaptation for High-Dimensional Mixed-Integer Problems
PV cell and module efficient parameters estimation using Evaporation Rate based Water Cycle Algorithm
Optimum settings for discrete PID control of nonlinear systems
Balanced multi-objective optimization algorithm using improvement based reference points approach
A comparison study of harmony search and genetic algorithm for the max-cut problem
Three pseudo-utility ratio-inspired particle swarm optimization with local search for multidimensional knapsack problem
OS-BiTP: Objective sorting-informed bidomain-information transfer prediction for dynamic multiobjective optimization
A diversity-driven migration strategy for distributed evolutionary algorithms
Redefining hybrid flow shop group scheduling: Unveiling a novel hybrid modeling paradigm and assessing 48 MILP and CP models
A multi structure genetic algorithm for integrated design space exploration of scheduling and allocation in high level synthesis for DSP kernels
An adaptive two-stage evolutionary algorithm for large-scale continuous multi-objective optimization
Fuzzy clustering-based large-scale multimodal multi-objective differential evolution algorithm
A learning-enhanced ant colony optimization algorithm for integrated planning and scheduling in hot rolling production lines under uncertainty
An efficient history-guided surrogate models-assisted niching evolutionary algorithm for expensive multimodal optimization
Bi-level game theoretic approach for robust design: A case study of path-generating four-bar
Novel benchmark functions for continuous multimodal optimization with comparative results
An analysis of SAT constrained MNK-landscapes as benchmark problems for multi-objective evolutionary algorithms
Multi-agent reinforcement learning-aided evolutionary algorithm for a many-objective distributed hybrid flow shop scheduling problem
Ensemble prediction-based dynamic robust multi-objective optimization methods
A revised deep reinforcement learning algorithm for parallel machine scheduling problem under multi-scenario due date constraints
A hybrid algorithm using ant and bee colony optimization for feature selection and classification (AC-ABC Hybrid)
The paradox of success in evolutionary and bioinspired optimization: Revisiting critical issues, key studies, and methodological pathways
Feature selection for classification of microarray gene expression cancers using Bacterial Colony Optimization with multi-dimensional population
Characterization of rankings generated by pseudo-Boolean functions
A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts
An enhanced teaching-learning-based optimization algorithm with self-adaptive and learning operators and its search bias towards origin
A discrete artificial bee colony method based on variable neighborhood structures for the distributed permutation flowshop problem with sequence-dependent setup times
A spiking neural network based proximal policy optimization method for multi-point imaging mission scheduling of earth observation satellite
Bankruptcy-evolutionary games based solution for the multi-agent credit assignment problem
Phasor particle swarm optimization-based control for Quadcopter systems: An event-triggered impulsive super twisting approach
Optimal maintenance scheduling of generator units using discrete integer cuckoo search optimization algorithm
A Multi-population genetic programming algorithm to model estimation for LLC resonant converter
Automata design for honeybee search algorithm and its applications to 3D scene reconstruction and video tracking
A many-objective optimization evolutionary algorithm based on hyper-dominance degree
A consensus-based EDA with multi-scale neighborhood search for vehicle routing problem with pickup and delivery
SWARMESH: Swarm-driven adaptive mesh for singular perturbation problems
Classification with cluster-based Bayesian multi-nets using Ant Colony Optimisation
Learning-driven many-objective evolutionary algorithms for satellite-ground time synchronization task planning problem
A constrained multi-objective evolutionary algorithm via separate exploration and united exploitation strategy
Stable switched controllers for a swarm of UGVs for hierarchal landmark navigation
Memetic algorithms and memetic computing optimization: A literature review
Goal-directed multimodal multi-objective evolutionary algorithm converging on population derivation
Adaptive search based Grey Wolf optimization algorithm for multi-objective optimization of ethylene cracking furnace
Multiple landscape measure-based approach for dynamic optimization problems
A strategy cooperative algorithm based on state-awareness for large-scale multi-objective optimization
A decomposition-based many-objective evolutionary algorithm updating weights when required
Bottleneck alleviation and scheduling optimization of flexible manufacturing system based on information-energy flow model
Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques
A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem
Using evolutionary computation to infer the decision maker's preference model in presence of imperfect knowledge: A case study in portfolio optimization
A combined approach for clustering based on K-means and gravitational search algorithms
A novel discrete water wave optimization algorithm for blocking flow-shop scheduling problem with sequence-dependent setup times
Distributed learning with biogeography-based optimization: Markov modeling and robot control
Multi-objective genetic algorithm with variable neighbourhood search for the electoral redistricting problem
Constrained multi-objective optimization assisted by competitive mechanism based reward auxiliary optimization problems
Constrained large-scale multiobjective optimization based on a competitive and cooperative swarm optimizer
Two-stage double deep Q-network algorithm considering external non-dominant set for multi-objective dynamic flexible job shop scheduling problems
Solve large-scale many-objective optimization problems based on dual analysis of objective space and decision space
An object tracking method using modified galaxy-based search algorithm
Task offloading for Industrial Internet of Things based on evolutionary multiobjective multitasking optimization
A gravitation-based link prediction approach in social networks
Generalization and completeness of stochastic local search algorithms
Constraint landscape knowledge assisted constrained multiobjective optimization
A clonal selection algorithm for dynamic multimodal function optimization
A diversity ranking based evolutionary algorithm for multi-objective and many-objective optimization
Multi-objective self-organizing optimization for constrained sparse array synthesis
A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids
Adaptive surrogate-assisted multi-objective evolutionary algorithm using an efficient infill technique
mNAFSA: A novel approach for optimization in dynamic environments with global changes
Two novel population based algorithms for the single machine scheduling problem with sequence dependent setup times and release times
Leukocyte segmentation in tissue images using differential evolution algorithm
Balancing objective and switch cost for robust optimization over time
Application of mixed integer distributed ant colony optimization to the design of undamped single-tuned passive filters based harmonics mitigation
Combining three strategies for evolutionary instance selection for instance-based learning
A differential evolution algorithm considering multi-population based on birth & death process and opposition-based learning with condition
Multi-population coevolutionary algorithm for a green multi-objective flexible job shop scheduling problem with automated guided vehicles and variable processing speed constraints
A cascaded flowshop joint scheduling problem with makespan minimization: A mathematical model and shifting iterated greedy algorithm
A finite-element dual-level contextual informed neural network with swarm space hopping algorithm based optimal feature selection and detection for EEG-based epileptic seizure detection
Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D
Autonomous detection of collective behaviours in swarms
Multi-operator opposition-based learning with the neighborhood structure for numerical optimization problems and its applications
An adaptive binary quantum-behaved particle swarm optimization algorithm for the multidimensional knapsack problem
A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations
Developing machine learning models with metaheuristic algorithms for droplet size prediction in a microfluidic microchannel
Green flexible job-shop scheduling considering transportation time and machine multi-rotation speeds
A critical assessment of metaheuristics for scheduling emergency infrastructure inspections
Solving mixed Pareto-Lexicographic multi-objective optimization problems: The case of priority chains
Artificial bee colony algorithm to design two-channel quadrature mirror filter banks
A sequential algorithm portfolio approach for black box optimization
Using different Heuristic strategies and an adaptive Neuro-Fuzzy inference system for multi-objective optimization of Hybrid Nanofluid to provide an efficient thermal behavior
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem
On the efficient computation and use of multi-objective descent directions within constrained MOEAs
A new multi-objective evolutionary framework for community mining in dynamic social networks
Bayesian network structure learning based on discrete artificial jellyfish search: Leveraging scoring and graphical properties
Function value ranking aware differential evolution for global numerical optimization
Feasibility-guided search and prediction for dynamic constrained multiobjective evolutionary optimization
Scale-free network-based differential evolution to solve function optimization and parameter estimation of photovoltaic models
Limited-stop bus service: A strategy to reduce the unused capacity of a transit network
Review of nature-inspired methods for wake-up scheduling in wireless sensor networks
Improved crayfish optimization algorithm based on multimodal collaborative search and dynamic distribution perturbation for estimating State-of-Health of lithium-ion batteries
Parallel execution combinatorics with metaheuristics: Comparative study
Bi-stage learning differential evolution for multimodal optimization problems
A memetic algorithm for a relocation-routing problem in green production of gas considering uncertainties
Differential evolution algorithm with local and global parameter adaptation
A decomposition-based dynamic constrained multi-objective task assignment for heterogeneous crowdsensing
A decompose-and-learn multi-objective algorithm for scheduling large-scale earth observation satellites
An effective cooperative coevolutionary algorithm with global and local-oriented cooperative mechanisms for multi-objective hybrid flowshop lot-streaming scheduling with limited and flexible sub-lots
Opposition-based Magnetic Optimization Algorithm with parameter adaptation strategy
Hybrid MPSO-CNN: Multi-level Particle Swarm optimized hyperparameters of Convolutional Neural Network
A Compound Sinusoidal Differential Evolution algorithm for continuous optimization
A systematic review on the potency of swarm intelligent nanorobots in the medical field
An Enhanced Imperialist Competitive Algorithm for optimum design of skeletal structures
Evolutionary many-Objective algorithm based on fractional dominance relation and improved objective space decomposition strategy
Practical multi-objective controller for preventing noise and vibration in an automobile wiper system
Coral Reef Optimization with substrate layers for medical Image Registration
A many-objective evolutionary algorithm with diversity-first based environmental selection
A novel evolutionary rigid body docking algorithm for medical image registration
Multi-robot target entrapment using cooperative hierarchical gene regulatory network
A knowledge-driven many-objective algorithm for energy-efficient distributed heterogeneous hybrid flowshop scheduling with lot-streaming
Automated design of action advising trigger conditions for multiagent reinforcement learning: A genetic programming-based approach
Multi-objective evolutionary feature selection for ensemble learning with random forests in time series forecasting
A modified Ant Colony System for the asset protection problem
A multi-clustering method based on evolutionary multiobjective optimization with grid decomposition
Differential evolution with bi-strategy co-deployment framework and diversity improvement
Deep reinforcement learning assisted surrogate model management for expensive constrained multi-objective optimization
Multimodal Memetic Framework for low-resolution protein structure prediction
A non-index mixed-asset portfolio optimization approach
Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection
A many-objective algorithm based on staged coordination selection
Exploratory landscape analysis on black-box optimization problems via Graph Neural Network
A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution
Information interaction and partial growth-based multi-population growable genetic algorithm for multi-dimensional resources utilization optimization of cloud computing
QACO: An adaptive multi-phase ant colony optimization approach for robust feature selection
Automated algorithm selection for black-box optimization using light gradient boosting machine
An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction
A parallel technique for multi-objective Bayesian global optimization: Using a batch selection of probability of improvement
Constrained niching using differential evolution
Dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement
Learning memetic algorithm based on variable population and neighborhood for multi-complex target scheduling of large-scale imaging satellites
An efficient collaborative multi-swap iterated greedy algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance
An adaptive weight vector guided evolutionary algorithm for preference-based multi-objective optimization
KDDCP: Kernel density driven cumulative probability-cooperated framework for constrained muti-objective optimization
A hybrid optimization approach for PI controller tuning based on gain and phase margin specifications
Optimal design of classic Atkinson engine with dynamic specific heat using adaptive neuro-fuzzy inference system and mutable smart bee algorithm
Two-objective robust job-shop scheduling with two problem-specific neighborhood structures
Techniques for inferring context-free Lindenmayer systems with genetic algorithm
Balanced crossover operators in Genetic Algorithms
Jointly optimizing microgrid configuration and energy consumption scheduling of smart homes
A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization
A comparative study of evolutionary approaches to the bi-objective dynamic Travelling Thief Problem
Differential evolution based on reinforcement learning with fitness ranking for solving multimodal multiobjective problems
Benefits of sparse population sampling in multi-objective evolutionary computing for large-Scale sparse optimization problems