yusuke1997/dblp-id-title huggingface dataset:
On the prediction of continuous integration build failures using search-based software engineering
Competitive coevolutionary algorithm decision support
Pricing transmission rights using ant colony optimization
Runtime analysis of randomized search heuristics for dynamic graph coloring
An Island-Based GA Implementation for VLSI Standard-Cell Placement
Two-dimensional subset selection for hypervolume and epsilon-indicator
Black-box complexities of combinatorial problems
An evolutionary approach to the discretization of gene expression profiles to predict the severity of COVID-19
Towards a green AI: evolutionary solutions for an ecologically viable artificial intelligence
Generative hyper-heuristics
Open source evolutionary structured optimization
Ensemble Phased Genetic Programming for Roundabout Turn Restriction Prediction
Mixing independent classifiers
Restoration of coverage blind spots in wireless sensor networks based on ant colony algorithm
A New Repair Method For Constrained Optimization
Classifying Maritime Vessels from Satellite Imagery with HyperNEAT
Towards an Augmented Lagrangian Constraint Handling Approach for the (1+1)-ES
Evolving Better Initializations For Neural Networks With Pruning
Getting you faster to work: a genetic algorithm approach to the traffic assignment problem
Classification of Spectral Image Using Genetic Programming
Balance Between Genetic Search And Local Search In Hybrid Evolutionary Multi-criterion Optimization Algorithms
Topology optimization of compliant mechanism using multi-objective particle swarm optimization
Genetic algorithms and grid computing for artificial embryogeny
The 'Blackboard Pattern' for Metaheuristics
Adding Program Length Bias to the Lexicase and Tournament Selection Algorithms
Discovering rules in the poker hand dataset
Neuroevolution results in emergence of short-term memory in multi-goal environment
Improving 3D medical image registration CUDA software with genetic programming
Hybridizing bio-inspired strategies with infotaxis through genetic programming
Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming
SSNNS -: a suite of tools to explore spiking neural networks
Acceleration of genetic algorithms for sudoku solution on many-core processors
Towards multi-objective optimization of sustainable insect production chains
Hybridizing Evolutionary Testing with the Chaining Approach
Optimizing loss functions through multi-variate taylor polynomial parameterization
Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates
Learning to select mates in artificial life
Modeling selection pressure in XCS for proportionate and tournament selection
Evolving simple programs for playing atari games
Evolving multimodal behavior with modular neural networks in Ms. Pac-Man
Extending the growing point language to self-organise patterns in three dimensions
The univariate marginal distribution algorithm copes well with deception and epistasis
Effects of Finite Populations on Evolutionary Stable Strategies
A Real-Coded Genetic Algorithm using Distance Dependent Alternation Model for Complex Function Optimization
Evolutionary computation-based kernel optimal component analysis for pattern recognition
Grammatical Evolution for the Discovery of Petri Net Models of Complex Genetic Systems
Towards landscape-aware parameter tuning for the (1 + ( λ, λ )) genetic algorithm for permutations
Effects of a deterministic hill climber on hBOA
Interactive operators for evolutionary architectural design
The evolutionary algorithm SAMOA with use of design of experiments
Optimization Challenges at the European Space Agency
Automated shape composition based on cell biology and distributed genetic programming
Variable reduction for surrogate-based optimization
Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II
A population based hybrid meta-heuristic for the uncapacitated facility location problem
A set-oriented MOEA/D
A genetic algorithm for designing neural network ensembles
Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective
The structure of an 8-state finite transducer representation for prisoner's dilemma
Environment driven dynamic decomposition for cooperative coevolution of multi-agent systems
A new multi-objective algorithm, pareto archived DDS
Parameter Optimization by a Genetic Algorithm for a Pitch Tracking System
A GP algorithm for efficient synthesis of GM-C filters on a hexagonal FPAA structure
Exploiting the path of least resistance in evolution
GA-based selection of vaginal microbiome features associated with bacterial vaginosis
XCS on embedded systems: an analysis of execution profiles and accelerated classifier deletion
Learning classifier system equivalent with reinforcement learning with function approximation
Evolving stable behavior in a spino-neuromuscular system model
Analyzing the impact of product configuration variations on advanced driver assistance systems with search
Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework
Utilization of infeasible solutions in MOEA/D for solving constrained many-objective optimization problems
Clans and cooperation in the iterated prisoner's dilemma
A genetic algorithm for privacy preserving combinatorial optimization
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture
A hybrid genetic algorithm for a variant of two-dimensional packing problem
Object Oriented Design and Implementation of a General Evolutionary Algorithm
Analysis of the effects of lifetime learning on population fitness using vose model
Benchmarking sep-CMA-ES on the BBOB-2009 function testbed
Risk prediction and risk factors identification from imbalanced data with RPMBGA+
Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data
On benchmark properties for adaptive operator selection
Genetic algorithm for qubits initialisation in noisy intermediate-scale quantum machines: the IBM case study
An evolutionary algorithm with solution archives and bounding extension for the generalized minimum spanning tree problem
A modern, event-based architecture for distributed evolutionary algorithms
Simultaneous optimization of production planning and inspection planning for flexible manufacturing systems
A characterisation of S-box fitness landscapes in cryptography
Log-optimal portfolio models with risk control of VaR and CVaR using genetic algorithms
Improving SSE parallel code with grow and graft genetic programming
Winnowing Wheat from Chaff: The Chunking GA
Guided mutations in cooperative coevolutionary algorithms for function optimization
A mono surrogate for multiobjective optimization
Towards better than human capability in diagnosing prostate cancer using infrared spectroscopic imaging
Which hyperparameters to optimise?: an investigation of evolutionary hyperparameter optimisation in graph neural network for molecular property prediction
Modeling and extending lifetime of wireless sensor networks using genetic algorithm
The Retrieval of Chemical Reaction Rates Using Genetic Algorithms
A pareto-compliant surrogate approach for multiobjective optimization
Learning the characteristics of engineering optimization problems with applications in automotive crash
Self-focusing genetic programming for software optimisation
Adaptive reinforcement learning through evolving self-modifying neural networks
On Development of a New Approach for EA Acceleration in Chosen Large Optimization Problems of Mechanics
Genetic algorithms and deep learning for automatic painter classification
Is it worth to approximate fitness by machine learning?: investigation on the extensibility according to problem size
Similarities Between Co-evolution and Learning Classifier Systems and Their Applications
Landscape-aware fixed-budget performance regression and algorithm selection for modular CMA-ES variants
On the automatic planning of healthy and balanced menus
Template method hyper-heuristics
Efficient Removal of Points with Smallest Crowding Distance in Two-dimensional Incremental Non-dominated Sorting
GUI-based, efficient genetic programming for Unity3D
Analyzing Violation Landscapes Using Different Definitions of Constraint Violation
Enhance differential evolution with random walk
CNN structure optimization using differential evolution with individual dependent mechanism
Termination detection strategies in evolutionary algorithms: a survey
TiPo - A New Dynamic Neural Net Model for Implementation in a Brain Building Machine
MOEA for clustering: comparison of mutation operators
Evaluation of a genetic representation for outline shapes
Using GAs To Deal With Dynamic Environments: A Comparative Study Of Several Approaches Based On Promoting Diversity
Genetic Elevator Group Control
Improving coevolution by random sampling
Grammatical Constant Creation
Saddle point optimization with approximate minimization oracle
VISPLORE: a toolkit to explore particle swarms by visual inspection
On the role of multi-objective optimization in risk mitigation for critical infrastructures with robotic sensor networks
Evolutionary algorithms applied to elucidate ionic water cluster structure formation
Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization
elephant56: Design and Implementation of a Parallel Genetic Algorithms Framework on Hadoop MapReduce
Geometric nelder-mead algorithm on the space of genetic programs
Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings
An experimental study of fitness function and time series forecasting using artificial neural networks
An adaption mechanism for the error threshold of XCSF
Exploiting gradient information in numerical multi--objective evolutionary optimization
In search of targeted-complexity problems
Genetic algorithms and solutions of an interesting differential equation
Populating Genomes in a Dynamic Grid
Spatio-temporal data evolutionary clustering based on MOEA/D
Archive-based multiple feature construction methods using adaptive Genetic Programming
MOEA/D with uniformly randomly adaptive weights
Probabilistic Lexicase Selection
Set-based multi-objective optimization, indicators, and deteriorative cycles
An Ant System Algorithm For Graph Bisection
Performance improvements for evolutionary strategy-based one-class constraint synthesis
Towards better generalization in WLAN positioning systems with genetic algorithms and neural networks
Evolving search trajectories
Evolving predator and prey behaviours with co-evolution using genetic programming and decision trees
Self-adaptive niching differential evolution and its application to semi-fragile watermarking for two-dimensional barcodes on mobile phone screen
CLEAR: Cue Learning using Evolution for Accurate Recognition Applied to Sustainability Data Extraction
Multiobjective genetic algorithms for materialized view selection in OLAP data warehouses
Migration of probabilistic models for island-based bivariate EDA algorithm
A distributed epigenetic shape formation and regeneration algorithm for a swarm of robots
Genealogical patterns in evolutionary algorithms
Real-time strategy game micro for tactical training simulations
New operators for non-functional genetic improvement
Importance of finding a good basis in binary representation
Efficiency optimization of a multi-pump booster system
Robust benchmarking for multi-objective optimization
A population scheme using cellular automata, cambrian explosions and massive extinctions
Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties
Towards automated software architectures design using model transformations and evolutionary algorithms
D-vine EDA: a new estimation of distribution algorithm based on regular vines
Genetic algorithm-based solver for very large multiple jigsaw puzzles of unknown dimensions and piece orientation
Downscaling near-surface atmospheric fields with multi-objective genetic programming
Evolutionary computation for supervised learning
Theory of swarm intelligence: tutorial at GECCO 2017
Towards adaptive mutation in grammatical evolution
Applying some EDAs and hybrid variants to the ERM problem under uncertainty
Local Optima Correlation Assisted Adaptive Operator Selection
A preliminary study of prediction interval methods with genetic programming
A self-organized criticality mutation operator for dynamic optimization problems
PEPPA: a project for evolutionary predator prey algorithms
Crowdseeding Robot Design
Exploring Conflicting Objectives with MADNS: Multiple Assessment Directed Novelty Search
Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction
Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part II
Evolutionary algorithms and automatic transcription of music
On the locality of neural meta-representations
Automatic generation of XSLT stylesheets using evolutionary algorithms
Black-box optimization benchmarking the IPOP-CMA-ES on the noiseless testbed: comparison to the BIPOP-CMA-ES
Permutation-based optimization using a generative adversarial network
Reinforcement Learning-Assisted Genetic Programming Hyper Heuristic Approach to Location-Aware Dynamic Online Application Deployment in Clouds
A theoretical analysis of volume based Pareto front approximations
Evo-ROS: integrating evolution and the robot operating system
Fitness uniform deletion: a simple way to preserve diversity
Policy transfer in mobile robots using neuro-evolutionary navigation
Control System Optimization Using Genetic Algorithms within the SoftLab Toolkit
Variable Selection for Multivariate Calibration in Chemometrics: A Real-World Application with Building Blocks Disruption Problem
A bio-inspired approach for the spectrum allocation problem in IoT networks
Progressive sampling surrogate-assisted particle swarm optimization for large-scale expensive optimization
The Effect of Training Schedules on Morphological Robustness and Generalization
Mining probabilistic models learned by EDAs in the optimization of multi-objective problems
Multi-objective optimization for worker cross-training: the tri-objective case
A mathematical analysis of EDAs with distance-based exponential models
Universal information distance for genetic programming
Identifying variable interaction using mutual information of multiple local optima
Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms
Understanding Fitness Landscapes in Morpho-Evolution via Local Optima Networks
The (1 + ( λ, λ )) genetic algorithm for permutations
Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming
GA and entropy objective function for solving sudoku puzzle
Towards crossing the reality gap with evolved plastic neurocontrollers
Population-based incremental learning with memory scheme for changing environments
Genetic Programming Empowered Feature Construction towards Energy Efficient BVI Wearables
Some comments on GD and IGD and relations to the Hausdorff distance
Application of evolutionary algorithms for model calibration
Constructing X-of-n Attributes With A Genetic Algorithm
Three Geometric Approaches for representing Decision Rules in a Supervised Learning System
Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs
Spectral clustering ensemble for image segmentation
The correlation-triggered adaptive variance scaling IDEA
Leveraging problem-independent hyper-heuristics for real-world test laboratory scheduling
Experimental evaluation of topological-based fitness functions to detect complexes in PPI networks
Program synthesis with evolutionary algorithms: Status quo: hot off the press track (GECCO 2022)
Harmony search for structural design
PyshGP: PushGP in Python
Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning
Advances on many-objective evolutionary optimization
Industrial evolutionary computing
Optimization knowledge base: an open database for algorithm and problem characteristics and optimization results
Reinforcement learning based dynamic selection of auxiliary objectives with preservation of the best found solution
Comparing Evolutionary Computation Techniques via Their Representation
Ant swarm algorithm for self-organizing complex system
Evolving controllers for simulated car racing using object oriented genetic programming
Sensitive ants are sensible ants
Learning to walk - reward relevance within an enhanced neuroevolution approach
Complete action map or best action map in accuracy-based reinforcement learning classifier systems
Fecundity and selectivity in evolutionary computation
Distribution of Evolutionary Algorithms in Heterogeneous Networks
Automatic exploration of the property space of reservoirs
GRASP - evolution for constraint satisfaction problems
Application of classification for figure copying test in Parkinson's disease diagnosis by using cartesian genetic programming
A multiobjective optimization approach for market timing
Pairwise sequence comparison for fitness evaluation in evolutionary structural software testing
Rank based variation operators for genetic algorithms
Analysis of the (1+1) EA for a Dynamically Bitwise Changing OneMax
Design of test problems for discrete estimation of distribution algorithms
Are Multiple Runs of Genetic Algorithms Better than One?
Growth and harvest induce essential dynamics in neural networks
An extended evolution strategy for the characterization of fracture conductivities from well tests
Positive impact of isomorphic changes in the environment on collective decision-making
Coupling EA and high-level metrics for the automatic generation of test blocks for peripheral cores
A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III)
A population-based automatic clustering algorithm for image segmentation
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework
Limitations of the fitness-proportional negative slope coefficient as a difficulty measure
Minimizing the EXA-GP Graph-Based Genetic Programming Algorithm for Interpretable Time Series Forecasting
Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms
MAPLE: Multi-Action Programs through Linear Evolution for Continuous Multi-Action Reinforcement Learning
A Dynamic Preference-driven Evolutionary Algorithm for Solving Dynamic Multi-objective Problems
A memory scheme for genetic network programming with adaptive mutation
Evolving a conspicuous point detector based on an artificial dorsal stream: SLAM system
COIL: Constrained optimization in learned latent space: learning representations for valid solutions
Informed mutation operator using machine learning for optimization in epidemics prevention
Comparative Molecular Binding Energy Analysis of HIV-1 Protease Inhibitors Using Genetic Algorithm-Based Partial Least Squares Method
Numerical-node building block analysis of genetic programming with simplification
Local and global order 3/2 convergence of a surrogate evolutionary algorithm
Modular Optimization Framework for Mixed Expensive and Inexpensive Real-World Problems
A multi-policy sequence-based selection hyper-heuristic for multi-objective optimization
Embedded feature selection using probabilistic model-based optimization
Genetic programming theory
Runtime Analysis of Population-based Evolutionary Algorithms - Part I: Steady State EAs
Metaheuristic design pattern: candidate solution repair
Discovering event evidence amid massive, dynamic datasets
Genetic and Evolutionary Computation Conference, GECCO 2006, Proceedings, Seattle, Washington, USA, July 8-12, 2006
The Master-Slave Architecture for Evolutionary Computations Revisited
Quality Diversity for Robot Learning: Limitations and Future Directions
The linear hidden subset problem for the (1 + 1) EA with scheduled and adaptive mutation rates
An Algorithm for Computing Lower Bounds for Unrestricted Black-Box Complexities
Implementing the cumulative difference plot in the IOHanalyzer
Maximum margin transfer learning
A probabilistic functional crossover operator for genetic programming
Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paper
Red Queen dynamics in a predator-prey ecosystem
Target tracking and localization of binocular mobile robot using camshift and SIFT
Growth and evolution of deep neural networks from gene regulatory networks
Prediction of protein inter-domain linkers using compositional index and simulated annealing
Eugenic Neuro-Evolution for Reinforcement Learning
Predict the success or failure of an evolutionary algorithm run
Optimization with constraints using a cultured differential evolution approach
Towards the evolutionary assessment of neural transformers trained on source code
A genetic algorithm for multi-robot routing in automated bridge inspection
Evolving cooperation for the iterated prisoner's dilemma
Evolving fuzzy decision tree structure that adapts in real-time
Automatic circle detection on images with an adaptive bacterial foraging algorithm
How genetic algorithms can improve a pacemaker efficiency
An ant colony optimization for solving a hybrid flexible flowshop
Crossover is provably essential for the ising model on trees
Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis
Comparing natural evolution strategies to BIPOP-CMA-ES on noiseless and noisy black-box optimization testbeds
Model-based evolutionary algorithms: GECCO 2022 tutorial
Improving evolutionary solutions to the game of mastermind using an entropy-based scoring method
Approximation of ( k , t )-robust Equilibria
MNDE: Node-depth encoding can do better in evolutionary multitask algorithms
Large scale biomedical data analysis with tree-based automated machine learning
Multi-Objective Covariance Matrix Adaptation MAP-Annealing
Metropolitan Area Network Design Using GA Based on Hierarchical Linkage Identification
A simulated annealing algorithm with a new neighborhood structure for the timetabling problem
Evolvability in grammatical evolution
Do Random and Chaotic Sequences Really Cause Different PSO Performance?
Graphical tools for the analysis of bi-objective optimization algorithms: [workshop on theoretical aspects of evolutionary multiobjective optimization]
A preference-based bi-objective approach to the payment scheduling negotiation problem with the extended r-dominance and NSGA-ii
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions
Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence
Just-in-time batch scheduling problem with two-dimensional bin packing constraints
Learning Behavior Trees by Evolution-Inspired Approaches
Illuminating diverse neural cellular automata for level generation
Multi-objective optimization with an evolutionary artificial neural network for financial forecasting
Safety-informed mutations for evolutionary deep reinforcement learning
Multi-strategy grouping genetic algorithm for the pickup and delivery problem with time windows
Mitigation strategies in epidemics: evolutionary optimization using a hierarchy of objective functions
Statistical learning in soil sampling design aided by pareto optimization
Beating exhaustive search at its own game: revisiting evolutionary mastermind
Finding Interactions or Relationships between Customer Orders for Building Better Batches by Means of an Estimation of Distribution Algorithm-based Approach for the Online Order Batching Problem
Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression
Introducing particle swarm optimization into a genetic algorithm to evolve robot controllers
Evolving Molecules for Drug Design Using Genetic Algorithms via Molecular Trees
An Evolutionary Algorithms to Training Neural Networks for a Two-Spiral Problem