yusuke1997/dblp-id-title huggingface dataset:
Knee-oriented expensive many-objective optimization via aggregation-dominance: A multi-task perspective
Multi-output majority gate-based design optimization by using evolutionary algorithm
Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems
SagTree: Towards efficient mutation in evolutionary circuit approximation
Enhancing collaborative filtering recommendations by utilizing multi-objective particle swarm optimization embedded association rule mining
Novel binary differential evolution algorithm based on Taper-shaped transfer functions for binary optimization problems
Negative hypervolume improvement assisted infill criterion for multi-objective efficient global optimization and its applications
Diversity preference-based many-objective particle swarm optimization using reference-lines-based framework
Genetic algorithms to balanced tree structures in graphs
Swarm algorithm with adaptive mutation for airfoil aerodynamic design
Boosting particle swarm optimization by backtracking search algorithm for optimization problems
Assistant reference point guided evolutionary algorithm for many-objective fuzzy portfolio selection
Sizing and topology optimization of truss structures using genetic programming
Solving the multi-objective flexible job shop scheduling problem with a novel parallel branch and bound algorithm
Population size in Particle Swarm Optimization
A systematic literature review on general parameter control for evolutionary and swarm-based algorithms
Self-adaptive differential artificial bee colony algorithm for global optimization problems
Cellular learning automata based bare bones PSO with maximum likelihood rotated mutations
Penalty and prediction methods for dynamic constrained multi-objective optimization
Stability analysis of Artificial Bee Colony optimization algorithm
Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop
A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem
From penalty function to learning-driven: evolution and perspectives of constrained multi-objective evolutionary algorithm
Space division and adaptive selection strategy based differential evolution algorithm for multi-objective satellite range scheduling problem
Dynamic multi-objective optimization algorithm based on incremental Gaussian mixture model
Integrated optimization of real-time order acceptance and flexible job-shop rescheduling with multi-level imperfect maintenance constraints
Graph-based evolutionary search for maximum independent union of cliques problem
A divide-and-conquer based efficient non-dominated sorting approach
Efficient user-oriented Pareto fronts and Pareto archives based on spatial data structures
Growing Neural Gas Network-based surrogate-assisted Pareto set learning for multimodal multi-objective optimization
Solving nonlinear equation systems and real-world engineering example via adaptive information migration and sharing evolutionary multitasking algorithm with cross-sampling
New insights into position optimisation of wave energy converters using hybrid local search
An insight to the performance of estimation of distribution algorithm for multiple line outage identification
A scalability study of the multi-guide particle swarm optimization algorithm to many-objectives
Preference-based cone contraction algorithms for interactive evolutionary multiple objective optimization
Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
Evolutionary optimization via swarming dynamics on products of spheres and rotation groups
An interpretable interval-valued wind power prediction system based on multi-objective feature extraction and base model selection with dynamic ensemble
Time series analysis and short-term forecasting of solar irradiation, a new hybrid approach
Fractional-Order Ant Colony Algorithm: A Fractional Long Term Memory Based Cooperative Learning Approach
Single-particle optimization for network embedding preserving both local and global information
Improving the performance of evolutionary multi-objective co-clustering models for community detection in complex social networks
DGS-EDA: A double-guided sampling estimation of distribution algorithm for multi-robot task assignment as a permutation optimization problem
An elitist nondominated sorting genetic algorithm for QoS multicast routing in wireless networks
InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms
Multiscale quantum harmonic oscillator algorithm with guiding information for single objective optimization
Knowledge-assisted evolutionary task scheduling for hierarchical multiagent systems with transferable surrogates
Weibull-based scaled-differences schema for Differential Evolution
Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future
Divide-and-conquer based non-dominated sorting with Reduced Comparisons
On the application of search-based techniques for software engineering predictive modeling: A systematic review and future directions
Performance evaluation for accelerated and efficient prediction of different regression models aggravated with BPSO for enhancing area efficiency through state encoding in sequential circuits
Handling multi-objective optimization problems with unbalanced constraints and their effects on evolutionary algorithm performance
Harmony search algorithm and related variants: A systematic review
Q-learning guided algorithms for bi-criteria minimization of total flow time and makespan in no-wait permutation flowshops
AEFA: Artificial electric field algorithm for global optimization
Multiobjective evolutionary algorithm assisted stacked autoencoder for PolSAR image classification
Search-based detection of code changes introducing performance regression
Synergism of Firefly Algorithm and Q-Learning for Robot Arm Path Planning
A target-guided adaptive path planning method for air-ground cross-domain unmanned swarm
A coevolutionary algorithm assisted by two archives for constrained multi-objective optimization problems
Structural test data generation using a memetic ant colony optimization based on evolution strategies
Pioneer selection for evolutionary multiobjective optimization with discontinuous feasible region
A two-stage adaptive reference direction guided evolutionary algorithm with modified dominance relation for many-objective optimization
Selective Pressure Strategy in differential evolution: Exploitation improvement in solving global optimization problems
An effective multi-objective adaptive iterated greedy algorithm for semi-open multi-AGV scheduling problem with charging and maintenance
Discrete adaptive GWO-based transport scheduling for aircraft between spots on flight deck and hangar
A multi-population multi-tasking variable neighborhood search algorithm with diversity enhancements for inter-domain path computation problem
Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment
Surrogate-assisted evolutionary algorithm with stage-adaptive infill sampling criterion for expensive multimodal multi-objective optimization
Structural bias in metaheuristic algorithms: Insights, open problems, and future prospects
Multimodal continuous ant colony optimization for multisensor remote sensing image registration with local search
PBI function based evolutionary algorithm with precise penalty parameter for unconstrained many-objective optimization
Constraint-tightening based adaptive two-stage evolutionary algorithm for constrained multi-objective optimization
Pareto multi-objective optimization for high locality-preserving space-filling curve identification
A self-adaptive mating restriction strategy based on survival length for evolutionary multiobjective optimization
An enhanced adaptive differential evolution algorithm with dual performance evaluation metrics for numerical optimization
Quantum circuit compilation by genetic algorithm for quantum approximate optimization algorithm applied to MaxCut problem
Two-level imperialist competitive algorithm for energy-efficient hybrid flow shop scheduling problem with relative importance of objectives
A data-driven parallel adaptive large neighborhood search algorithm for a large-scale inter-satellite link scheduling problem
Offline evolutionary optimization with problem-driven model pool design and weighted model selection indicator
Expected coordinate improvement for high-dimensional Bayesian optimization
Screening dense and noisy DOX-datasets with NN-blending and "dizzy" swarm intelligence: Profiling a water quality process
A constrained multi-objective evolutionary strategy based on population state detection
Optimization of stacking ensemble configurations through Artificial Bee Colony algorithm
Text clustering with a hybrid multi-objective optimization approach: The multi-objective firefly differential Jaya Algorithm
MOEA/D-BDN: Multimodal multi-objective evolutionary algorithm based on bi-dynamic niche strategy and adaptive weight decomposition
An effective combination of mechanisms for particle swarm optimization-based ensemble strategy
Challenging test problems for multi- and many-objective optimization
A synergy of the sine-cosine algorithm and particle swarm optimizer for improved global optimization and object tracking
Using Compact Evolutionary Tabu Search algorithm for matching sensor ontologies
Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application
Adaptive multi-swarm in dynamic environments
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark
Coordinated design of power system stabilizers and TCSC employing improved harmony search algorithm
MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands
A regularity augmented evolutionary algorithm with dual-space search for multiobjective optimization
Adaptive operator selection with test-and-apply structure for decomposition-based multi-objective optimization
Adaptive gradient descent enabled ant colony optimization for routing problems
A dynamic multi-objective evolutionary algorithm based on geometric prediction and vector-scalar transformation strategy
Maximum likelihood estimation for the parameters of skew normal distribution using genetic algorithm
Revisiting CEC 2022 ranking: A new ranking method and influence of parameter tuning
Smell Bees Optimization for new embedding steganographic scheme in spatial domain
Robust mixed-model assembly line balancing and sequencing problem considering preventive maintenance scenarios with interval processing times
Quantum particle swarm optimization with chaotic encoding schemes for flexible job-shop scheduling problem
Automated pattern generation for swarm robots using constrained multi-objective genetic programming
COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems
Chaotic particle swarm optimization with sigmoid-based acceleration coefficients for numerical function optimization
Investigation of incremental hybrid genetic algorithm with subgraph isomorphism problem
A comprehensive survey on the P system optimization algorithms' variants and their applications
Dual-population collaborative prediction with reinforcement learning adjusting for dynamic multi-objective optimization
Using regression models for characterizing and comparing black box optimization problems
Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods
Enhancing Quality-Diversity algorithm by reinforcement learning for Flexible Job Shop Scheduling with transportation constraints
A hierarchical reinforcement learning-aware hyper-heuristic algorithm with fitness landscape analysis
Multi-objective planning of electric vehicles charging in distribution system considering priority-based vehicle-to-grid scheduling
Identifying influential nodes based on ant colony optimization to maximize profit in social networks
Regularity-based evolutionary multi-objective optimization review
Efficient ontology matching through compact linear genetic programming with surrogate-assisted local search
Information exchange based clustered differential evolution for constrained generation-transmission expansion planning
Improved differential evolution for noisy optimization
A multi-objective metaheuristic approach for generating cell type marker panels from single-cell transcriptomics
Cooperative constrained multi-objective dual-population evolutionary algorithm for optimal dispatching of wind-power integrated power system
An overview and comparative analysis of recent bio-inspired optimization techniques for wind integrated multi-objective power dispatch
Efficient configuration of high-dimensional hyperparameters in deep convolutional neural networks for classification assisted by surrogate models
Encoding transformation-based differential evolution algorithm for solving knapsack problem with single continuous variable
When robots learn from nature: GLWOA-RRT*, a nature-inspired motion planning approach
A random benchmark suite and a new reaction strategy in dynamic multiobjective optimization
Evolutionary optimization approach based on heuristic information with pseudo-utility for the quadratic assignment problem
Intelligent pest trap monitoring under uncertainty in food industry
Evolutionary algorithm with cross-diversity integration and mutation synergy operation for multi-objective recommendation
Metaheuristics should be tested on large benchmark set with various numbers of function evaluations
Craziness based Particle Swarm Optimization algorithm for FIR band stop filter design
A distributed neuro-genetic programming tool
Evolutionary multistage multitasking method for feature selection in imbalanced data
A Self-adaptive two stage iterative greedy algorithm based job scales for energy-efficient distributed permutation flowshop scheduling problem
A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation
Speed up differential evolution for computationally expensive protein structure prediction problems
Cooperative Coevolutionary Genetic Algorithm for Multirobot Task Scheduling in Antarctica region
A multi-population memetic algorithm for the 3-D protein structure prediction problem
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems
Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm
Data-driven assisted multiobjective routing optimization for multimodal transportation under fuzzy demand
A particle swarm algorithm based on the dual search strategy for dynamic multi-objective optimization
A memetic algorithm based on two_Arch2 for multi-depot heterogeneous-vehicle capacitated arc routing problem
A population perturbation and elimination strategy based genetic algorithm for multi-satellite TT&C scheduling problem
An efficient Bayesian network structure learning algorithm based on structural information
Multimodal multi-objective optimization via multi-operator adaptation and clustering-based environmental selection
Differential evolution with hybrid parameters and mutation strategies based on reinforcement learning
A new moving peaks benchmark with attractors for dynamic evolutionary algorithms
Towards power plant output modelling and optimization using parallel Regression Random Forest
Ant Colony Optimization based model checking extended by smell-like pheromone with hop counts
Deep reinforcement learning assisted memetic scheduling of drones for railway catenary deicing
A many-objective evolutionary algorithm based on interaction force and hybrid optimization mechanism
Survey on multi-task optimization: Towards cross-domain and asynchronous multi-task
Noisy evolutionary optimization algorithms - A comprehensive survey
Clustering-based evolutionary algorithm for constrained multimodal multi-objective optimization
Surrogate-assisted neural learning and evolutionary optimization for expensive constrained multi-objective problems
Deep Statistical Comparison for Multi-Objective Stochastic Optimization Algorithms
Generating random complex networks with network motifs using evolutionary algorithm-based null model
An improved variable neighborhood search algorithm embedded temporal and spatial synchronization for vehicle and drone cooperative routing problem with pre-reconnaissance
Optimizing feedforward neural networks using a modified weighted mean of vectors: Case study chemical datasets
Broad reinforcement learning based adaptive state transition algorithm for global optimization
An approach to evolve and exploit repertoires of general robot behaviours
Profit based unit commitment for GENCOs using parallel NACO in a distributed cluster
Intelligent cross-entropy optimizer: A novel machine learning-based meta-heuristic for global optimization
Attraction-Repulsion Optimization Algorithm for Global Optimization Problems
Efficient parallel and fast convergence chaotic Jaya algorithms
A level-based multi-strategy learning swarm optimizer for large-Scale multi-objective optimization
Enhanced auxiliary population search for diversity improvement of constrained multiobjective coevolutionary optimization
Dynamic integrated optimization of batching and routing in narrow-aisle order picking systems with congestion consideration
Most significant hotspot detection using improved particle swarm optimizers
An adaptive interval many-objective evolutionary algorithm with information entropy dominance
An improved genetic algorithm for the flexible job shop scheduling problem with multiple time constraints
An experimental approach to designing grouping genetic algorithms
Offspring regeneration driven by finite element mapping for large-scale evolutionary multiobjective optimization
A novel orthogonal PSO algorithm based on orthogonal diagonalization
Including problem-knowledge based modification into a Differential Evolution Algorithm for optimizing planar moment-resisting steel frames
A study of ant-based pheromone spaces for generation constructive hyper-heuristics
A discrete water source cycle algorithm design for solving production scheduling problem in flexible manufacturing systems
Using penalties instead of rewards: Solving OCST problems with guided local search
An effective two-stage iterated greedy algorithm to minimize total tardiness for the distributed flowshop group scheduling problem
Multilevel thresholding by fuzzy type II sets using evolutionary algorithms
Evolutionary-morphological learning machines for high-frequency financial time series prediction
A learning-based memetic algorithm for a cooperative task allocation problem of multiple unmanned aerial vehicles in smart agriculture
Uniform mixture design via evolutionary multi-objective optimization
A temporal-segmentation-and-fusion-based large-scale constrained multi-objective evolutionary algorithm for coal mine integrated energy systems dispatch
Reinforcement learning-assisted particle swarm algorithm for effluent scheduling problem with an influent estimation of WWTP
Hybrid biogeography-based optimization with shuffled frog leaping algorithm and its application to minimum spanning tree problems
Deep reinforcement learning assisted co-evolutionary differential evolution for constrained optimization
A novel Error-Correcting Output Codes algorithm based on genetic programming
Strengthened grey wolf optimization algorithms for numerical optimization tasks and AutoML
A learning-and-knowledge-assisted multi-population collaborative evolutionary algorithm for integrated design-production-distribution scheduling problems in mass personalized customization
Meta-heuristic Techniques in Microgrid Management: A Survey
A knowledge-guided multi-objective fruit fly optimization algorithm for the multi-skill resource constrained project scheduling problem
A multi-objective genetic algorithm based approach for dynamical bus vehicles scheduling under traffic congestion
Parameter tuning for configuring and analyzing evolutionary algorithms
A dynamic multi-objective optimization evolutionary algorithm based on multi-modal feature fusion and entropy-driven reinforcement learning
Differential evolution algorithm with fitness and diversity ranking-based mutation operator
Lifecycle coevolution framework for many evolutionary and swarm intelligence algorithms fusion in solving complex optimization problems
Preference incorporation into many-objective optimization: An Ant colony algorithm based on interval outranking
A robust algorithm based on Differential Evolution with local search for the Capacitated Vehicle Routing Problem
Opposition-based learning in the shuffled bidirectional differential evolution algorithm
Clearing-based multimodal multi-objective evolutionary optimization with layer-to-layer strategy
Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems
A cluster-based genetic optimization method for satellite range scheduling system
PSO based data clustering with a different perception
An adaptive differential evolution algorithm with exponential crossover based on a learning strategy within the difference vector
Nature-Inspired optimization algorithms for enhanced load balancing in cloud computing: A comprehensive review with taxonomy, comparative analysis, and future trends
A novel encoding/decoding algorithm for constraint handling in a horizontal-axis wind turbine blade optimization process
A collaboration-based multi-objective algorithm for distributed hybrid flowshop scheduling with resource constraints
Hybrid improved firefly-pattern search optimized fuzzy aided PID controller for automatic generation control of power systems with multi-type generations
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems
A correlation-guided cooperative coevolutionary method for feature selection via interaction learning-based space division
Multi-strategy particle swarm optimization with adaptive forgetting for base station layout
A many-objective optimization algorithm with mutation strategy based on variable classification and elite individual
Exploring high-dimensional optimization by sparse and low-rank evolution strategy
Adaptive knowledge-based multi-objective evolutionary algorithm for hybrid flow shop scheduling problems with multiple parallel batch processing stages
An evolutionary method with shift pattern learning for real-world multi-skilled personnel scheduling with flexible shifts
Sentence selection for generic document summarization using an adaptive differential evolution algorithm
State estimation of nonlinear stochastic systems using a novel meta-heuristic particle filter
An efficient GA-PSO approach for solving mixed-integer nonlinear programming problem in reliability optimization
A many-objective optimization algorithm using a two-space interactive evolutionary framework
Large-scale cooperative co-evolution using niching-based multi-modal optimization and adaptive fast clustering
Population sizing of cellular evolutionary algorithms
A new gradient free local search mechanism for constrained multi-objective optimization problems
A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems
A novel transformation to improve the robustness of value-based surrogate models
Biogeography based optimization technique for best compromise solution of economic emission dispatch
Angle information enhanced kriging-assisted adaptive evolutionary algorithm for computationally highly expensive high-dimensional problems
An improved artificial bee colony algorithm combined with extremal optimization and Boltzmann Selection probability
Self adaptive cuckoo search: Analysis and experimentation
Automatic modular design of robot swarms based on repertoires of behaviors generated via novelty search