yusuke1997/dblp-id-title huggingface dataset:
Teaching-learning based optimization of a multi-server machining model with emergency vacation and retention of reneged machines
A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification
A Convolutional Neural Network-Based Surrogate Model for Multi-objective Optimization Evolutionary Algorithm Based on Decomposition
Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction
Multitask particle swarm optimization algorithm leveraging variable chunking and local meta-knowledge transfer
An improved ensemble particle swarm optimizer using niching behavior and covariance matrix adapted retreat phase
Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization
A weighted knowledge extraction strategy for dynamic multi-objective optimization
A dynamic multi-objective optimization evolutionary algorithm based on classification of decision variables and inter-layer collaborative prediction
A self-learning classification-based multi-objective evolutionary algorithm for machine multi-state energy-efficient flexible job shop scheduling under time-of-use pricing
An adaptive large neighborhood search with multi-deletion operators for multi-depot green vehicle routing problem with time windows
Diversity enhancement-based Differential Evolution with a novel perturbation strategy
PF-MAAC: A learning-based method for probabilistic optimization in time-constrained non-adversarial moving target search
A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning
Two infill criteria driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems with medium dimensions
Evolving rollout-justification based heuristics for resource constrained project scheduling problems
Swarm intelligence applications for emergency evacuation planning: state of the art, recent developments, and future research opportunities
An enhanced sparrow search swarm optimizer via multi-strategies for high-dimensional optimization problems
An improved multi-objective multifactorial evolutionary algorithm for assembly line balancing problem considering regular production and preventive maintenance scenarios
ESOEA: Ensemble of single objective evolutionary algorithms for many-objective optimization
Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution
Solving multi-objective robust optimization problems via Stakelberg-based game model
Model order formulation of a multivariable discrete system using a modified particle swarm optimization approach
Asynchronous storming-norming ant colony system for project scheduling under scenario perturbation of activity attributes
Smart cities optimization using computational intelligence in power-constrained IoT sensor networks
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection
Many-objective optimization by using an immune algorithm
An individual adaptive evolution and regional collaboration based evolutionary algorithm for large-scale constrained multiobjective optimization problems
A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems
A differential evolution algorithm for solving mixed-integer nonlinear programming problems
A balance-oriented iterative greedy algorithm for the distributed heterogeneous hybrid flow-shop scheduling problem with blocking constraints
Evolutionary modeling approach based on multiobjective genetic programming for strip quality prediction
A Q-Learning based NSGA-II for dynamic flexible job shop scheduling with limited transportation resources
Experience Exchange Strategy: An evolutionary strategy for meta-heuristic optimization algorithms
Multimodal multi-objective optimization: Comparative study of the state-of-the-art
Self-adapting self-organizing migrating algorithm
Multiobjective band selection approach via an adaptive particle swarm optimizer for remote sensing hyperspectral images
Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times
A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities
An improved PSO algorithm with a territorial diversity-preserving scheme and enhanced exploration-exploitation balance
Manifold clustering-based prediction for dynamic multiobjective optimization
Face recognition using bacterial foraging strategy
Efficient multi-objective algorithm for the lot-streaming hybrid flowshop with variable sub-lots
Corrigendum to "Evolutionary heterogeneous clustering for rating prediction based on user collaborative filtering" [Swarm Evolut. Comput. 38 (2018) 35-41]
Performance analysis of synchronous and asynchronous distributed genetic algorithms on multiprocessors
SF-FWA: A Self-Adaptive Fast Fireworks Algorithm for effective large-scale optimization
A novel hybrid grey wolf optimizer with min-conflict algorithm for power scheduling problem in a smart home
Microarray medical data classification using kernel ridge regression and modified cat swarm optimization based gene selection system
Multi-Objective parameter-less population pyramid for solving industrial process planning problems
An adaptive convergence enhanced evolutionary algorithm for many-objective optimization problems
A congestion-based local search for transmission expansion planning problems
A constrained multimodal multi-objective evolutionary algorithm based on adaptive epsilon method and two-level environmental selection
A hybrid multi-agent Coordination Optimization Algorithm
Revolutionizing Wireless Rechargeable Sensor Networks: Speed Optimization-based Charging Scheduling Scheme (SOCSS) for efficient multi-node energy transfer
An enhanced artificial bee colony algorithm with dual-population framework
Manifold-assisted coevolutionary algorithm for constrained multi-objective optimization
Optimizing genetic programming by exploiting semantic impact of sub trees
An effective multi-objective community development algorithm and its application to identify control model of supercritical units
Evolutionary optimization technique for comparative analysis of different classical controllers for an isolated wind-diesel hybrid power system
A novel nature-inspired algorithm for optimization: Squirrel search algorithm
Hybrid improved binary particle swarm optimization approach for generation maintenance scheduling problem
Evolutionary dynamics of direct and indirect reciprocity on networked populations
Service allocation in the cloud environments using multi-objective particle swarm optimization algorithm based on crowding distance
Particle swarm Optimized Density-based Clustering and Classification: Supervised and unsupervised learning approaches
A multi-strategy optimizer for energy minimization of multi-UAV-assisted mobile edge computing
Chaos-enhanced mobility models for multilevel swarms of UAVs
Multifactorial evolutionary algorithm for optimal reconfiguration capability of distribution networks
A novel hybrid simulated annealing algorithm for colored bottleneck traveling salesman problem
Distributed heterogeneous flexible job-shop scheduling problem considering automated guided vehicle transportation via improved deep Q network
Evolutionary optimization with hierarchical surrogates
Handling bound constraints in CMA-ES: An experimental study
Adaptive stochastic fractal search algorithm for multi-objective optimization
A comprehensive survey of traditional, merge-split and evolutionary approaches proposed for determination of cluster number
Archive assisted fully informed evolutionary algorithm for expensive many-objective optimization
A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization
Tensor factorization-based particle swarm optimization for large-scale many-objective problems
A novel differential particle swarm optimization for parameter selection of support vector machines for monitoring metal-oxide surge arrester conditions
Surrogate-assisted hierarchical learning water cycle algorithm for high-dimensional expensive optimization
Biogeography based optimization for optimal meter placement for security constrained state estimation
Parallel fractional dominance MOEAs for feature subset selection in big data
A self-adaptive evolutionary algorithm for dynamic vehicle routing problems with traffic congestion
Incremental learning-enhanced ensemble surrogate-assisted evolutionary algorithm for lifelong berth allocation and quay crane assignment problems
A many-objective evolutionary algorithm assisted by ideal hyperplane
PULSE: A Multi-stage Artificial Intelligence Framework for Analyzing Vaccine Hesitancy on Twitter using Particle Swarm Optimization and Large Language Models
Beyond exploitation: Measuring the impact of local search in swarm-based memetic algorithms through the interactions of individuals in the population
Reinforcement learning-based particle swarm optimization with adaptive scoring mechanism for high-dimensional feature selection
A dynamic multi-objective optimization based on a hybrid of pivot points prediction and diversity strategies
Dynamic cooperative scheduling toward distributed and reconfigurable manufacturing via multi-agent deep reinforcement learning
Efficient constraint handling for optimal reactive power dispatch problems
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation
A self-adaptive memetic algorithm with Q-learning for solving the multi-AGVs dispatching problem
Landscape features in single-objective continuous optimization: Have we hit a wall in algorithm selection generalization?
An immune network based distributed architecture to control public bus transportation systems
An investigation into many-objective optimization on combinatorial problems: Analyzing the pickup and delivery problem
Discrete optimization algorithms for distributed bi-agent flowshop scheduling with release dates
Modeling and seeker optimization based simulation for intelligent reactive power control of an isolated hybrid power system
Evolution of path costs for efficient decentralized multi-agent pathfinding
Pruning for efficient DenseNet via surrogate-model-assisted genetic algorithm considering neural architecture search proxies
A framework for enhancing simulation reliability in hard-sphere packing: Surrogate model comparison, multi-objective optimization, and multi-criteria decision making for robust parameter identification
A multiple surrogate-assisted hybrid evolutionary feature selection algorithm
Dynamic-multi-task-assisted evolutionary algorithm for constrained multi-objective optimization
Ensemble strategies for population-based optimization algorithms - A survey
Optimizing MapReduce efficiency and reducing complexity with enhanced particle Swarm Optimization (MR-MPSO)
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing
A novel multi-objective immunization algorithm based on dynamic variation distance
Adaptive variable neighborhood search for solving multi-objective facility layout problems with unequal area facilities
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment
Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems
A high-efficiency adaptive artificial bee colony algorithm using two strategies for continuous optimization
D-Bees: A novel method inspired by bee colony optimization for solving word sense disambiguation
An alternative way of evolutionary multimodal optimization: density-based population initialization strategy
A hybrid surrogate co-assisted evolutionary algorithm with prediction fusion interpolation sampling strategy for expensive optimization problems
Economic analysis and power management of a stand-alone wind/photovoltaic hybrid energy system using biogeography based optimization algorithm
Adaptive hybrid response mechanism for dynamic multi-objective optimization and its application in multi-robot task allocation
CMA-ES with exponential based multiplicative covariance matrix adaptation for global optimization
A new PSO-optimized geometry of spatial and spatio-temporal scan statistics for disease outbreak detection
A discrete-time switched linear model of the particle swarm optimization algorithm
A loss matrix-based alternating optimization method for sparse PU learning
Design of estimators for restoration of images degraded by haze using genetic programming
RetroEA: An efficient evolutionary algorithm for retrosynthetic route planning
A multi-resolution grid-based bacterial foraging optimization algorithm for multi-objective optimization problems
Optimal fitness aware cloud service composition using modified invasive weed optimization
Dynamic variable analysis guided adaptive evolutionary multi-objective scheduling for large-scale workflows in cloud computing
Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges
DA2MODE: Dynamic Archive with Adaptive Multi-Operator Differential Evolution for numerical optimization
Real-time collaborative feeder vehicle routing problem with flexible time windows
Genetically-modified multi-population particle swarm optimization for workflow scheduling in cloud environment
Profit maximizing logistic model for customer churn prediction using genetic algorithms
Error analysis of elitist randomized search heuristics
Offline learning-based competitive swarm optimizer for non-linear fixed-charge transportation problems
Multi-swarm particle swarm optimization based on CUDA for sparse reconstruction
Handling uncertainty through confidence intervals in portfolio optimization
PSO-based lightweight neural architecture search for object detection
A multi-population competitive evolutionary algorithm based on genotype preference for multimodal multi-objective optimization
Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering
Multi-operator continuous ant colony optimisation for real world problems
Pareto optimization of cognitive radio parameters using multiobjective evolutionary algorithms and fuzzy decision making
Foreword: Some advances in Immune Computation and applications
A generic fuzzy approach for multi-objective optimization under uncertainty
Two-stage bidirectional coevolutionary algorithm for constrained multi-objective optimization
Third-party software library migration at the method-level using multi-objective evolutionary search
A learning-based memetic algorithm for energy-efficient distributed flow-shop scheduling with preventive maintenance
Heuristic-guided scatter search for X-architecture Steiner Minimum Tree problems in VLSI design
Neuro-PSO algorithm for large-scale dynamic optimization
A finite horizon deteriorating inventory model with two-phase pricing and time-varying demand and cost under trade credit financing using particle swarm optimization
A multi-objective evolutionary artificial bee colony algorithm for optimizing network topology design
A Multi Ant System based hybrid heuristic algorithm for Vehicle Routing Problem with Service Time Customization
Bi-objective evolutionary hyper-heuristics in automated machine learning for text classification tasks
Micro-time variant multi-objective particle swarm optimization (micro-TVMOPSO) of a solar thermal combisystem
Selective-candidate framework with similarity selection rule for evolutionary optimization
Unified integration of many-objective optimization algorithm based on temporary offspring for software defects prediction
Learning strategies for particle swarm optimizer: A critical review and performance analysis
Alternate Solutions for Influence Maximization: Beyond theoretical approximation by the Genetic Algorithm Framework
Genetic programming with semantic equivalence classes
SPMS-ALS: A Single-Point Memetic structure with accelerated local search for instance reduction
Differential evolution with objective and dimension knowledge utilization
Learning-driven memetic algorithm for solving integrated distributed production and transportation scheduling problem
A hybrid estimation of distribution algorithm for agile earth observing satellite task scheduling problem
Metaheuristics to solve grouping problems: A review and a case study
Online model tuning in surrogate-assisted optimization - An effective approach considering the cost-benefit tradeoff
Multifaceted collaborative evolutionary constrained multimodal multiobjective optimization
Investigating the equivalence between PBI and AASF scalarization for multi-objective optimization
Solving machine overload for re-scheduling of dynamic flexible job shop by adaptive tripartite game theory-based genetic algorithm
GBOS: Generalized Best Order Sort algorithm for non-dominated sorting
Evolutionary architecture search via adaptive parameter control and gene potential contribution
Ensemble of parameters in a sinusoidal differential evolution with niching-based population reduction
Node-depth phylogenetic-based encoding, a spanning-tree representation for evolutionary algorithms. part I: Proposal and properties analysis
Multiobjective differential evolution enhanced with principle component analysis for constrained optimization
Differential evolution with adaptive mechanism of population size according to current population diversity
Noisy multi-objective optimization algorithm based on Gaussian model and regularity model
Trend analysis-based prediction strategies for dynamic multi-objective evolutionary optimization
A Diffused Memetic Optimizer for reactive berth allocation and scheduling at marine container terminals in response to disruptions
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs
RR-SMO: A novel optimization algorithm for enhancing route efficiency in outdoor sports equipment
A dynamic multi-objective optimization evolutionary strategy based on adaptive selection for wet flue gas desulfurization process
A survey of swarm intelligence for portfolio optimization: Algorithms and applications
Behaviour of Multi-Level Selection Genetic Algorithm (MLSGA) using different individual-level selection mechanisms
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time
A novel path-based reproduction operator for multi-objective optimization
A preference modified inverted generational distance indicator guided algorithm for evolutionary multi-objective optimization
Global genetic learning particle swarm optimization with diversity enhancement by ring topology
An improved arithmetic optimization algorithm based on reinforcement learning for global optimization and engineering design problems
A novel penalty function-based interval constrained multi-objective optimization algorithm for uncertain problems
A knowledge transfer-based co-evolutionary algorithm for dynamic large-scale crude oil scheduling
Extracting easy to understand summary using differential evolution algorithm
Multi-objective differential evolution algorithm with fuzzy inference-based adaptive mutation factor for Pareto optimum design of suspension system
Integrated scheduling problem of multi-load AGVs and parallel machines considering the recovery process
Convergence analysis for a class of continuous single-step meta-heuristic algorithms based on Harris chain
A study on rotation invariance in differential evolution
Symmetric uncertainty based decomposition multi-objective immune algorithm for feature selection
Parameter optimization and speed control of switched reluctance motor based on evolutionary computation methods
MPSO: Modified particle swarm optimization and its applications
A hierarchical heterogeneous ant colony optimization based approach for efficient action rule mining
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems
Multi-objective based scheduling algorithm for sudden drinking water contamination incident
Performance analysis of dynamic optimization algorithms using relative error distance
An adaptive response algorithm based on dual-space detection for dynamic multiobjective optimization
Survey of quality measures for multi-objective optimization: Construction of complementary set of multi-objective quality measures
Point cloud registration via sampling-based evolutionary multitasking
A neighborhood comprehensive learning particle swarm optimization for the vehicle routing problem with time windows
A partition-based constrained multi-objective evolutionary algorithm
Terminal normalization in genetic programming for dynamic flexible job shop scheduling
A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization
Memetic algorithms applied to the optimization of workflow compositions
Grammar-based cooperative learning for evolving collective behaviours in multi-agent systems
Dynamic flexible job shop scheduling algorithm for multi-task collaborative optimization
Evolutionary algorithm using adaptive fuzzy dominance and reference point for many-objective optimization
Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms
An approach for computationally expensive multi-objective optimization problems with independently evaluable objectives
Scheduling two-stage healthcare appointment systems via a knowledge-based biased random-key genetic algorithm
PEAR: a massively parallel evolutionary computation approach for political redistricting optimization and analysis
A knowledge-based two-population optimization algorithm for distributed heterogeneous assembly permutation flowshop scheduling with batch delivery and setup times
Online payments fraud prediction using optimized genetic algorithm based feature extraction and modified loss with XG boost algorithm for classification
Metaheuristic multi-objective optimization of constrained futures portfolios for effective risk management
A decomposition-based multiobjective evolutionary algorithm with weight vector adaptation
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times
Comparison of mutation strategies in Differential Evolution - A probabilistic perspective
A Generational Difference Vector based Tri-Entropy Structure Optimizer for large-scale multiobjective optimization
A hybrid fuzzy inference prediction strategy for dynamic multi-objective optimization
Multi-policy deep reinforcement learning for multi-objective multiplicity flexible job shop scheduling
Bio-inspired computation: Where we stand and what's next
Grammar-based autonomous discovery of abstractions for evolution of complex multi-agent behaviours
Multi-objective evolutionary co-learning framework for energy-efficient hybrid flow-shop scheduling problem with human-machine collaboration
Integrating evacuation and relief redistribution into last-mile relief network design: A two-stage distributionally robust optimization approach
The application of simplified swarm optimization in a precautionary evacuation model
Population statistics for particle swarm optimization: Resampling methods in noisy optimization problems
Metaheuristic-based weight optimization for robust deep reinforcement learning in continuous control
Bird mating optimizer for structural damage detection using a hybrid objective function
Surrogate-assisted multi-objective evolutionary optimization with a multi-offspring method and two infill criteria
Multi-generation multi-criteria feature construction using Genetic Programming
Analysis of selection hyper-heuristics for population-based meta-heuristics in real-valued dynamic optimization
An efficient evolutionary architecture search for variational autoencoder with alternating optimization and adaptive crossover