yusuke1997/dblp-id-title huggingface dataset:
Real-coded chemical reaction optimization with different perturbation functions
Grammatical Evolution to Mine OWL Disjointness Axioms Involving Complex Concept Expressions
A Bi-level Blocked Estimation of Distribution Algorithm with local search for Maximum Clique Problems
Genetic algorithm based on primal and dual theory for solving multiobjective bilevel linear programming
Linear genetic programming of parsimonious metaheuristics
Improving genetic classifiers with a boosting algorithm
Exploiting Fertility to Enable Automatic Content Generation to Ameliorate User Fatigue in Interactive Evolutionary Computation
Evolutionary Multi - Modal Optimization Using Persistence-Based Clustering in Riemannian Manifolds
An objective reduction algorithm based on hyperplane approximation for many-objective optimization problems
Genetic Learning of Digital Three-Layer Perceptrons for Implementation of Binary Cellular Automata
A hybrid global/local optimization technique for robust training of microwave neural network models
Multi-objective optimisation by reinforcement learning
Expensive Inequality Constraints Handling Methods Suitable for Dynamic Surrogate-based Optimization
On genetic programming and knowledge discovery in transcriptome data
Simulating the coevolution of language and long-term memory
A fuzzy genetic algorithm approach to generate and assess meta-architectures for non-line of site fires battlefield capability
An initial investigation of choice function hyper-heuristics for the problem of financial forecasting
Dynamical exploitation space reduction in particle swarm optimization for solving large scale problems
Why parameter control mechanisms should be benchmarked against random variation
Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming
Searching oligo sets of human chromosome 12 using evolutionary strategies
Cooperation, Solution Concepts and Long-term Dynamics in the Iterated Prisoner's Dilemma
Development of evolutionary data mining algorithms and their applications to cardiac disease diagnosis
Local search with quadratic approximation in Genetic Algorithms for expensive optimization problems
Evolving Robust Solutions for Stochastically Varying Problems
Energy and Quality of Surrogate-Assisted Search Algorithms: a First Analysis
Modeling of synchronous weapon target assignment problem for howitzer based defense line
An Interior-point Genetic Algorithm with Restarts for Flexible Job Shop Scheduling Problems
Multi-objective evolutionary programming without non-domination sorting is up to twenty times faster
Towards a more complete classification system for dynamically changing environments
Evolutionary support center machine
Is increased diversity in genetic programming beneficial? An analysis of lineage selection
Classification with missing data using multi-layered artificial immune systems
A decision making framework for game playing using evolutionary optimization and learning
Analysis of multiple asteroids rendezvous optimization using genetic algorithms
Accelerating the performance of particle swarm optimization for embedded applications
GA automated design and synthesis of analog circuits with practical constraints
A novel mutation operator for the evolutionary learning of Bayesian networks
Fuzzy markup language with genetic learning mechanism for invention patent quality evaluation
A cooperative coevolution-based pittsburgh learning classifier system embedded with memetic feature selection
A Practical Tuner based on Opposite Information
Online evolution of offensive strategies in real-time strategy gaming
Memory-based statistical learning for the travelling salesman problem
A simultaneous perturbation stochastic approximation enhanced teaching-learning based optimization
Proceedings of the 2000 Congress on Evolutionary Computation, CEC 2000, La Jolla, CA, USA, July 16-19, 2000
A topological niching covariance matrix adaptation for multimodal optimization
New pheromone trail updating method of ACO for satellite control resource scheduling problem
Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis
An Integrated Differential Evolution-based Heuristic Method for Product Family Design Problem
Modular design from gene regulation in a cellular system
Evolving Game Skill-Depth using General Video Game AI agents
Enhancing Cooperative Coevolution for Large Scale Optimization by Exploiting Decomposition Solutions
Group-based Adaptive Differential Evolution For Chance Constrained Portfolio Optimization Using Bank Deposit and Bank Loan
Using adaptive operator scheduling on problem domains with an operator manifold: applications to the travelling salesman problem
AQoS routing based on heuristic algorithm for Double-Layered Satellite Networks
Evolving neuromodulatory topologies for reinforcement learning-like problems
Performance Testing Using a Smart Reinforcement Learning-Driven Test Agent
Visualization of evolutionary runs with isometric mapping
Cartesian Genetic Programming Hyper-Heuristic with Parameter Configuration for Production Lot-Sizing
LW-MSTCNN: An Optimization Study on Integrating Multiscale Attention Mechanism with Deep Separable Convolutional Networks
Applying non-revisiting genetic algorithm to traveling salesman problem
Manipulating the conductance of single-walled carbon nanotubes based thin films for evolving threshold logic circuits using particle swarm optimisation
On the use of a BSP Tree to create local surrogate models
MPADE: An Improved Adaptive Multi-Population Differential Evolution Algorithm Based on JADE
Decision template multi-label classification based on recursive dependent binary relevance
Flock-based Evolutionary Multi-Agent System in solving noisy multi-objective optimization problems
Parallel Best Order Sort for Non-dominated Sorting: A Theoretical Study Considering the PRAM-CREW Model
A Scatter Search Based Approach with Approximate Evaluation for the Heterogeneous Probabilistic Traveling Salesman Problem
A memetic algorithm for the probabilistic traveling salesman problem
Cellular automata for modeling protein folding using the HP model
Morphological-Rank-Linear Time-lag Added Evolutionary Forecasting method for financial time series forecasting
Evolutionary multiobjective optimization in dynamic environments: A set of novel benchmark functions
Evolving complex yet interpretable representations: application to Alzheimer's diagnosis and prognosis
Nonlinear equation systems solved by many-objective hype
Particle Swarm Optimisation and high dimensional problem spaces
A modified Alopex-based evolutionary algorithm and its application on parameter estimation
Pareto neuro-evolution: constructing ensemble of neural networks using multi-objective optimization
Greedy adaptation of control parameters in differential evolution for global optimization problems
Efficient particle swarm optimization: a termination condition based on the decision-making approach
A genetic algorithm for solving the binning problem in networked applications detection
Global optimization through randomized group search in contracting regions
Dynamic In Vivo Computation: Nanobiosensing from a Dynamic Optimization Perspective
Can OneMax help optimizing LeadingOnes using the EA+RL method?
An Empirical Study of Control Parameters for The Third Version of Generalized Differential Evolution (GDE3)
On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems
Peacock Algorithm
A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data
Information Content of Coevolutionary Game Landscapes
Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization
Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms
Weight Vector Arrangement Using Virtual Objective Vectors in Decomposition-based MOEA
Improved Particle Swarm Optimization with low-discrepancy sequences
Data mining for multidisciplinary design space of regional-jet wing
A Hierarchical Model with Pseudoinverse Learning Algorithm Optimazation for Pulsar Candidate Selection
Totally disturbed chaotic Particle Swarm Optimization
An Evolution Strategy for Improving the Design of Phased Array Transducers
An adaptive learning particle swarm optimizer for function optimization
Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant
Fireworks algorithm for the multi-satellite control resource scheduling problem
An image registration approach using genetic algorithms
Representation matters: Real-valued encodings for meander line RFID antennas
Coordination of multiple behavior modules evolved on CAM-Brain
A cascaded evolutionary multi-objective optimization for solving the unbiased universal electric motor family problem
Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation
Biogeography-based informative gene selection and cancer classification using SVM and Random Forests
Enhanced Brain Storm Optimization with Role-playing Strategy
Vector evaluated particle swarm optimization: The archive's influence on performance
Solving dynamic double-row layout problem via an improved simulated annealing algorithm
Diversity enhanced Adaptive Evolutionary Programming for solving single objective constrained problems
Random and Chaotic Sequences, and the Effect of their Distributions on PSO Performance
Multi-agent approach for profit based unit commitment
Towards a More Balanced Reference Set Adaptation Method: First Results
An evolutionary schema for mining skyline clusters of attributed graph data
AIRP: A heuristic algorithm for solving the unrelated parallel machine scheduling problem
Using multiple representations in evolutionary algorithms
Using semantics in the selection mechanism in Genetic Programming: A simple method for promoting semantic diversity
Natural gradient, fitness modelling and model selection: A unifying perspective
Proceedings of the 1999 Congress on Evolutionary Computation, CEC 1999, Washington, DC, USA July 6-9, 1999
A multi-objective risk-based approach for airlift task scheduling using stochastic bin packing
A Differential Mutation operator for the archive population of multi-objective evolutionary algorithms
A hybrid swarm optimizer for efficient parameter estimation
GA based high-order peak filter design with application to compensation of contact-induced vibration in HDD servo systems
Parallel Island Model Genetic Algorithms applied in NP-Hard problems
Self-adaptive differential evolution algorithm for numerical optimization
Probability Evolutionary Algorithm based human motion tracking using voxel data
On the role of degree influence in suboptimal modularity maximization
Two-stage Tabu - Particle swarm algorithms for the facility layout problem with size constraints
Classification based on a multi-dimensional probability distribution and its application to network intrusion detection
The "natura non facit saltus" principle in Memetic computing
Effects of Decision Models on Dynamic Multi-objective Optimization Algorithms for Financial Markets
Dynamic Normalization in MOEA/D for Multiobjective optimization
Multiple solution search based on hybridization of real-coded evolutionary algorithm and quasi-newton method
Hybrid parameter control approach applied to a diversity-based multi-objective memetic algorithm for frequency assignment problems
Robust design optimization based on multi-objective particle swarm optimization
Investigating the Baldwin effect on Cartesian Genetic Programming efficiency
Particle swarm optimization for adaptive IIR filter structures
The modularity in freeform evolving neural networks
Graph composition in a graph grammar-based method for automata network evolution
Evolutionary detection of community structures in complex networks: A new fitness function
Introducing a robust and efficient stopping criterion for MOEAs
The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts
Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification
A study of Pareto-based methods for ensemble pool generation and aggregation
Congestion detection and clearing history of trip time in AntNet
Evolutionary testing as both a testing and redesign tool: a study of a shipboard firemain's valve and pump controls
Evolved Bayesian Network models of rig operations in the gulf of Mexico
A Sparse Fireworks Algorithm for Gene Regulatory Network Reconstruction based on Fuzzy Cognitive Maps
Restricted evolution based multimodal function optimization in holographic grating design
Non-invasive detection of hypoglycemic episodes in Type 1 diabetes using intelligent hybrid rough neural system
Performance Evaluation of Evolutionary Multi-Objective Algorithms Using Real-World Problems with an Additional Total Constraint Violation Objective
Fluid evolutionary algorithms
Evolving recurrent neural controllers for sequential tasks: a parallel implementation
Adaptive denoising in spectral analysis by genetic programming
New concepts in evolutionary search for Boolean functions in cryptology
Modified differential evolution with local search algorithm for real world optimization
Stability analysis of the ant system dynamics with non-uniform pheromone deposition rules
A genetic algorithm for feature selection in gait analysis
Maximum Power Point Tracking in Photovoltaic Farms Using DE and PSO Algorithms: A Comparative Study
An interval programming approach for bilevel linear programming problem with fuzzy random coefficients
Two evolutionary approaches to cross-clustering problems
A hybrid swarm intelligence optimizer based on particles and artificial bees for high-dimensional search spaces
Reliable multiple robot-assisted sensor relocation using multi-objective optimization
Particle Swarm Optimisation with genetic operators for feature selection
A new solution encoding scheme for solving the Flexible Job-Shop Scheduling Problem
Influence of the archive size on the performance of the dynamic vector evaluated particle swarm optimisation algorithm solving dynamic multi-objective optimisation problems
Compaction for code fragment based learning classifier systems - Redux
A setup reduction methodology from lean manufacturing for development of meta-heuristic algorithms
Integrated Learning Method for Anomaly Detection Combining KLSH and Isolation Principles
Improved reconstruction of deep space images via genetic algorithms
Extension and performance evaluation of recent optimization techniques on mixed integer optimization problems
A new preprocessing procedure for the haplotype inference problem
Design optimization for a novel class of high power microwave sources
Optimizing melting rate and fuel consumption of rotary furnace using NSGA -II
Simultaneous Scheduling Strategy: A Novel Method for Flexible Job Shop Scheduling Problem
Phase transition and New Fitness Function based Genetic Inductive Logic Programming algorithm
Cross-Entropy Firefly Algorithm-Assisted Deep Reinforcement Learning for Flexible Flow Shop Scheduling Problems
Training of Multi-Branch Neural Networks using RasID-GA
Hybrid Particle Swarm Algorithm Applied to Flexible Job-Shop Problem
Swarm guidance using a multi-objective co-evolutionary on-Line evolutionary algorithm
Managing Radial Basis Functions for Evolutionary Many-Objective optimization
A genetic word clustering algorithm
A new efficient and useful robust optimization approach - design for multi-objective six sigma
Multi-objective fast messy genetic algorithm solving deception problems
Towards effective subspace clustering with an evolutionary algorithm
Artificial bee colony with mean mutation operator for better exploitation
D-BRKGA: A Distributed Biased Random-Key Genetic Algorithm
Multiobjective Evolutionary Approach to the Solution of Gas Lift Optimization Problems
Multiobjective clustering around medoids
Building grid service on atmospheric radiative transfer simulation of remote sensing data
Adaptive combinational logic circuits based on intrinsic Evolvable Hardware
An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator
Mining Graph-based Features in Multi-objective Framework for Microblog Summarization
An exploration of the space Of DNA structural properties using an evolutionary algorithm
Distance based hybrid genetic algorithm: an application for the graph coloring problem
A new archive based steady state genetic algorithm
Dynamic Algorithm Composition for Image Segmentation
Learning Bayesian Networks Structures with an Effective Knowledge-driven GA
Generating a novel sort algorithm using Reinforcement Programming
Regularized hypervolume selection for robust portfolio optimization in dynamic environments
Enhancing exploration in differential evolution via exponential recombination
A boundary search based ACO algorithm coupled with stochastic ranking
Particle-Swarm Optimization Control of Active-Power Filter for Harmonic Mitigation of Hybrid Electric-Unbalanced Traction-System
Evolutionary programming with ensemble of explicit memories for dynamic optimization
A primal-dual multiobjective evolutionary algorithm for approximating the efficient set
Bayesian optimization algorithm for multi-objective solutions: application to electric equipment configuration problems in a power plant
Rollout based Heuristics for the Quantum Circuit Compilation Problem
Pan-Cancer Classification System with Explainable AI Interpretation: A Feasibility Study
Biogeography-based optimization with ensemble of migration models for global numerical optimization
A contribution-guided discrete differential evolution algorithm for the quadratic multiple knapsack problem
An ant learning algorithm for gesture recognition with one-instance training
Applying Genetic Programming to Improve Interpretability in Machine Learning Models
An Elite Archive-Assisted Multi-Objective Evolutionary Algorithm for mRNA Design
A LPSO-SGD algorithm for the Optimization of Convolutional Neural Network
Complex network analysis in PSO as an fitness landscape classifier
Design of cascaded controllers for DC drives using evolutionary algorithms
A new model of self-adaptive network intrusion detection
An investigation on piece differential information in co-evolution on games using Kalah
Multiple Choice strategy with Dimensional mutation for PSO algorithm enhanced with chaotic Dissipative Standard Map
Evolutionary modeling of a blog network
A memetic algorithm for global optimization in chemical process synthesis
A Comparison of Crossover Operators in Genetic Algorithms for Switch Allocation Problem in Power Distribution Systems
Preliminary results for GAMMI: Genetic algorithms for motif-module inference
A dual population genetic algorithm with evolving diversity
Fast Re-Optimization of LeadingOnes with Frequent Changes
Parallel PSO using MapReduce
Evolutionary design of engagement strategies for turn-constrained agents
The Metrics Apprentice: using cultural algorithms to formulate quality metrics for software systems
Push and Pull Search with Directed Mating for Constrained Multi-objective Optimization
Differential evolution with a two-stage optimization mechanism for numerical optimization
Immune-Based System to Enhance Malware Detection
Feature Extraction of Fourier Infrared Signals from Pyrolysis Products based on ZCA and PSO
Incorporation of adaptive mutation based on subjective evaluation in an interactive evolution strategy
Optimization of representation for extracting knowledge from ultra-high frequency time series
Constructing Ensembles of Automatically Designed Relocation Rules for the Container Relocation Problem
A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures
Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets
Protein Sequencing with an Adaptive Genetic Algorithm from Tandem Mass Spectrometry
Efficient Global Multi-Objective Aerodynamic Optimization Using Combined Multi-Point Infilling Strategy and Surrogate Models
Agent-based modeling of lottery markets with the expected-utility paradigm
MRMOGA: parallel evolutionary multiobjective optimization using multiple resolutions
Adapting multiple kernel parameters for support vector machines using genetic algorithms
Influence of selection and replacement strategies on linkage learning in BOA
Combining rules and proportions: A multiobjective approach to algorithmic composition
Comments on an evolutionary intensity inhomogeneity correction algorithm
Improved particle swarm optimization: Catching the big wave on the surf
Multiobjective optimization using dynamic neighborhood particle swarm optimization
Self-configuring genetic programming algorithm with modified uniform crossover
A multicriteria genetic algorithm to analyze microarray data
Multi-particle swarm optimization used to study material degradation in aeroelastic composites including probabalistic uncertainties
Optimizing visual attention models for predicting human fixations using Genetic Algorithms
Energy-efficient local wake-up scheduling in wireless sensor networks
Approximate Evolution Strategy using Stochastic Ranking
Evolution of artifact capabilities
Uncertainty in iterated cooperation games
Computer experiments on the development of niche specialization in an artificial ecosystem
GA-based kernel optimization for pattern recognition: theory for EHW application
Tri-phase performance profile of evolutionary search on uni- and multi-modal search spaces
Fitness Caching - From a Minor Mechanism to Major Consequences in Modern Evolutionary Computation
A novel genetic algorithm for the automated design of performance driven digital circuits
Atrributed Graph Embedding Based on Multiobjective Evolutionary Algorithm for Overlapping Community Detection
Preference Incorporation in Multi-objective Evolutionary Algorithms: A Survey
Comparing PSO and NSGA II for the biobjective Oil Derivatives Distribution Problem
Hierarchical evolution of heterogeneous neural networks
A hybrid discrete cuckoo search for distributed permutation flowshop scheduling problem
A hybrid heuristic algorithm based on Mean-Field Theory with a Simple Local Search for the Quadratic Knapsack Problem
Multiple parents guided differential evolution for large scale optimization
A genetic algorithm for probe testing problem on high-density PCB
An improved bilevel evolutionary algorithm based on Quadratic Approximations
Probabilistic constraint handling in the framework of joint evolutionary-classical optimization with engineering applications
Metaheuristics for clustering in KDD
Evolving cooperation in the non-iterated prisoner's dilemma: A social network inspired approach
A real-coded genetic algorithm for constructive induction
Gene expression data classification using automatic differential evolution based algorithm
Task Representation in Optimization: Utilizing Image Modalities for Effective Comparison
Deep Learning Models Compression Based on Evolutionary Algorithms and Digital Fractional Differentiation
Reducing complexity in many objective optimization using community detection
New heuristic and evolutionary operators for the multi-objective urban transit routing problem
Electromagnetic algorithm for tuning the structure and parameters of neural networks
Study on the compression-expansion coefficient in drift particle swarm optimization
A partial order approach to noisy fitness functions
Affinity propagation based memetic band selection on hyperspectral imagery datasets
Solving, rating and generating Sudoku puzzles with GA
A cooperative approach to The Artificial Bee Colony algorithm
Parallel Evolutionary Algorithm for EEG Optimization Problems
Metamodel accuracy assessment in evolutionary optimization
Comparing Surrogate-Assisted Evolutionary Algorithms on Optimization of a Simulation Model for Resource Planning Task for Hospitals
An algorithm for scalable clustering: Ensemble Rapid Centroid Estimation
Clustering-Based Search in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows