On the public citation graph

Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The ID$$ \mathbb{E} $$A

https://doi.org/10.1007/3-540-45356-3_75
0 signed · 132 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-61723-x_982openalex-snapshot
From recombination of genes to the estimation of distributions I. Binary parameters
inferredcites →https://doi.org/10.1007/978-1-4471-0819-1_39openalex-snapshot
The Bivariate Marginal Distribution Algorithm
inferredcites →https://doi.org/10.1007/978-1-4612-0493-0openalex-snapshot
Introduction to Graphical Modelling
inferredcites →https://doi.org/10.1007/978-1-4684-0481-4openalex-snapshot
Introduction to Graphical Modelling
inferredcites →https://doi.org/10.1007/bfb0026596openalex-snapshot
Telephone network traffic overloading diagnosis and evolutionary computation techniques
inferredcites →https://doi.org/10.1007/bfb0056884openalex-snapshot
Extending population-based incremental learning to continuous search spaces
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50014-1openalex-snapshot
Removing the Genetics from the Standard Genetic Algorithm
inferredcites →https://doi.org/10.1023/a:1009689913453openalex-snapshot
Schemata, Distributions and Graphical Models in Evolutionary Optimization
inferredcites →https://doi.org/10.1023/a:1022687019898openalex-snapshot
Editorial: On Machine Learning
inferredcites →https://doi.org/10.1109/acc.2000.879173openalex-snapshot
A survey of optimization by building and using probabilistic models
inferredcites →https://doi.org/10.1109/icec.1998.700083openalex-snapshot
The compact genetic algorithm
inferredcites →https://doi.org/10.1162/evco.1999.7.4.353openalex-snapshot
FDA -A Scalable Evolutionary Algorithm for the Optimization of Additively Decomposed Functions
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.2823408openalex-extracted
inferred← citeshttps://doi.org/10.1002/mma.7628openalex-snapshot
Probabilistic calibration and short‐term prediction of the prevalence herpes simplex type 2: A transmission dynamics modelling approach
inferred← citeshttps://doi.org/10.1007/11785231_2openalex-snapshot
Estimation of Distribution Algorithm for Optimization of Neural Networks for Intrusion Detection System
inferred← citeshttps://doi.org/10.1007/11903697_69openalex-snapshot
Optimizing Continuous Problems Using Estimation of Distribution Algorithm Based on Histogram Model
inferred← citeshttps://doi.org/10.1007/3-540-32494-1_4openalex-snapshot
The CMA Evolution Strategy: A Comparing Review
inferred← citeshttps://doi.org/10.1007/3-540-36970-8_20openalex-snapshot
MOPED: A Multi-objective Parzen-Based Estimation of Distribution Algorithm for Continuous Problems
inferred← citeshttps://doi.org/10.1007/978-1-4615-1539-5_3openalex-snapshot
A Review on Estimation of Distribution Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-030-79553-5_9openalex-snapshot
Probabilistic Multimodal Optimization
inferred← citeshttps://doi.org/10.1007/978-3-319-41192-7_7openalex-snapshot
Estimation of Distribution Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-540-30217-9_22openalex-snapshot
Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model
inferred← citeshttps://doi.org/10.1007/978-3-540-30217-9_36openalex-snapshot
A Mixed Bayesian Optimization Algorithm with Variance Adaptation
inferred← citeshttps://doi.org/10.1007/978-3-540-34954-9_5openalex-snapshot
Numerical Optimization with Real-Valued Estimation-of-Distribution Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-540-44511-1_8openalex-snapshot
Learning Probabilistic Models for Enhanced Evolutionary Computation
inferred← citeshttps://doi.org/10.1007/978-3-540-44511-1_9openalex-snapshot
Probabilistic Models for Linkage Learning in Forest Management
inferred← citeshttps://doi.org/10.1007/978-3-540-45216-4_6openalex-snapshot
An Hybrid Neural/Genetic Approach to Continuous Multi-objective Optimization Problems
inferred← citeshttps://doi.org/10.1007/978-3-540-72960-0_18openalex-snapshot
Learning Structure Illuminates Black Boxes – An Introduction to Estimation of Distribution Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-540-72964-8_16openalex-snapshot
Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-540-78761-7_58openalex-snapshot
Truncation Selection and Gaussian EDA: Bounds for Sustainable Progress in High-Dimensional Spaces
inferred← citeshttps://doi.org/10.1007/978-3-540-79438-7_11openalex-snapshot
Evolution of Descent Directions
inferred← citeshttps://doi.org/10.1007/978-3-540-87700-4_14openalex-snapshot
Enhancing the Performance of Maximum–Likelihood Gaussian EDAs Using Anticipated Mean Shift
inferred← citeshttps://doi.org/10.1007/978-3-540-87700-4_55openalex-snapshot
Preventing Premature Convergence in a Simple EDA Via Global Step Size Setting
inferred← citeshttps://doi.org/10.1007/978-3-642-00267-0_6openalex-snapshot
A Self-adaptive Mixed Distribution Based Uni-variate Estimation of Distribution Algorithm for Large Scale Global Optimization
inferred← citeshttps://doi.org/10.1007/978-3-642-01129-0_78openalex-snapshot
Stochastic Local Search Techniques with Unimodal Continuous Distributions: A Survey
inferred← citeshttps://doi.org/10.1007/978-3-642-12834-9_7openalex-snapshot
Estimation of Distribution Algorithm Based on Copula Theory
inferred← citeshttps://doi.org/10.1007/978-3-642-14547-6_14openalex-snapshot
GAIS: A Gaussian Artificial Immune System for Continuous Optimization
inferred← citeshttps://doi.org/10.1007/978-3-642-20505-7_7openalex-snapshot
Particle Swarm Optimization in the EDAs Framework
inferred← citeshttps://doi.org/10.1007/978-3-642-24455-1_16openalex-snapshot
Variance Scaling for EDAs Revisited
inferred← citeshttps://doi.org/10.1007/978-3-642-28900-2_10openalex-snapshot
Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-28900-2_2openalex-snapshot
A Review of Estimation of Distribution Algorithms and Markov Networks
inferred← citeshttps://doi.org/10.1007/978-3-642-32964-7_48openalex-snapshot
Beware the Parameters: Estimation of Distribution Algorithms Applied to Circles in a Square Packing
inferred← citeshttps://doi.org/10.1007/978-3-662-57715-8_7openalex-snapshot
Evolutionary- and Quantum-Inspired Computation. Applications for SNN Optimisation
inferred← citeshttps://doi.org/10.1007/978-94-007-2169-2_152openalex-snapshot
Adaptive Variance Scaling in Clayton Copula EDA
inferred← citeshttps://doi.org/10.1007/978-981-97-3286-9_5openalex-snapshot
Popular Evolutionary Computation Algorithms
inferred← citeshttps://doi.org/10.1007/s00158-005-0551-zopenalex-snapshot
A double-distribution statistical algorithm for composite laminate optimization
inferred← citeshttps://doi.org/10.1007/s00500-015-1810-6openalex-snapshot
An experimental analysis of a new two-stage crossover operator for multiobjective optimization
inferred← citeshttps://doi.org/10.1007/s00500-016-2408-3openalex-snapshot
The importance of implementation details and parameter settings in black-box optimization: a case study on Gaussian estimation-of-distribution algorithms and circles-in-a-square packing problems
inferred← citeshttps://doi.org/10.1007/s00500-018-3390-8openalex-snapshot
A latent space-based estimation of distribution algorithm for large-scale global optimization
inferred← citeshttps://doi.org/10.1007/s10115-022-01704-6openalex-snapshot
A review of clique-based overlapping community detection algorithms
inferred← citeshttps://doi.org/10.1007/s10732-012-9208-4openalex-snapshot
A review on probabilistic graphical models in evolutionary computation
inferred← citeshttps://doi.org/10.1007/s10846-009-9392-0openalex-snapshot
Multi-population Based Univariate Marginal Distribution Algorithm for Dynamic Optimization Problems
inferred← citeshttps://doi.org/10.1007/s10878-022-00879-6openalex-snapshot
Estimation of distribution algorithms using Gaussian Bayesian networks to solve industrial optimization problems constrained by environment variables
inferred← citeshttps://doi.org/10.1007/s11390-008-9108-0openalex-snapshot
Histogram-Based Estimation of Distribution Algorithm: A Competent Method for Continuous Optimization
inferred← citeshttps://doi.org/10.1007/s11432-009-0140-7openalex-snapshot
Duple-EDA and sample density balancing
inferred← citeshttps://doi.org/10.1007/s13748-011-0005-3openalex-snapshot
A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems
inferred← citeshttps://doi.org/10.1016/j.amc.2009.06.019openalex-snapshot
HPBILc: A histogram-based EDA for continuous optimization
inferred← citeshttps://doi.org/10.1016/j.amc.2013.12.081openalex-snapshot
Repairing normal EDAs with selective repopulation
inferred← citeshttps://doi.org/10.1016/j.asoc.2012.11.049openalex-snapshot
Regularized continuous estimation of distribution algorithms
inferred← citeshttps://doi.org/10.1016/j.biosystems.2019.04.001openalex-snapshot
An efficient estimation of distribution algorithm with rank-one modification and population reduction
inferred← citeshttps://doi.org/10.1016/j.cad.2011.01.015openalex-snapshot
Adaptive knot placement using a GMM-based continuous optimization algorithm in B-spline curve approximation
inferred← citeshttps://doi.org/10.1016/j.ejor.2006.06.051openalex-snapshot
Matching inductive search bias and problem structure in continuous Estimation-of-Distribution Algorithms
inferred← citeshttps://doi.org/10.1016/j.ins.2004.06.009openalex-snapshot
DE/EDA: A new evolutionary algorithm for global optimization
inferred← citeshttps://doi.org/10.1016/j.ins.2008.01.021openalex-snapshot
Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms
inferred← citeshttps://doi.org/10.1016/j.ins.2013.02.040openalex-snapshot
A Boltzmann based estimation of distribution algorithm
inferred← citeshttps://doi.org/10.1016/j.ins.2016.01.003openalex-snapshot
A multi-cycled sequential memetic computing approach for constrained optimisation
inferred← citeshttps://doi.org/10.1016/j.matcom.2021.03.017openalex-snapshot
Estimation of distribution algorithms for the computation of innovation estimators of diffusion processes
inferred← citeshttps://doi.org/10.1016/j.neunet.2009.06.038openalex-snapshot
Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models
inferred← citeshttps://doi.org/10.1016/j.swevo.2019.04.005openalex-snapshot
Reproductive bias, linkage learning and diversity preservation in bi-objective evolutionary optimization
inferred← citeshttps://doi.org/10.1016/s0888-613x(02)00090-7openalex-snapshot
Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms
inferred← citeshttps://doi.org/10.1023/b:naco.0000023416.59689.4eopenalex-snapshot
Learning probability distributions in continuous evolutionary algorithms – a comparative review
inferred← citeshttps://doi.org/10.1057/palgrave.jors.2602308openalex-snapshot
An estimation of distribution algorithm with intelligent local search for rule-based nurse rostering
inferred← citeshttps://doi.org/10.1080/00207721.2013.823526openalex-snapshot
An overview of population-based algorithms for multi-objective optimisation
inferred← citeshttps://doi.org/10.1108/02644400410511864openalex-snapshot
Hybrid estimation of distribution algorithm for global optimization
inferred← citeshttps://doi.org/10.1109/bic-ta.2011.14openalex-snapshot
A Modified Estimation of Distribution Algorithm for Numeric Optimization
inferred← citeshttps://doi.org/10.1109/cec.2001.934434openalex-snapshot
Bayesian evolutionary algorithms for continuous function optimization
inferred← citeshttps://doi.org/10.1109/cec.2001.934436openalex-snapshot
Continuous estimation of distribution algorithms with probabilistic principal component analysis
inferred← citeshttps://doi.org/10.1109/cec.2001.934452openalex-snapshot
A crossover operator using independent component analysis for real-coded genetic algorithms
inferred← citeshttps://doi.org/10.1109/cec.2005.1554843openalex-snapshot
Linkage identification for real-valued loci by fitness difference classification
inferred← citeshttps://doi.org/10.1109/cec.2007.4424501openalex-snapshot
Covariance matrix repairing in Gaussian based EDAs
inferred← citeshttps://doi.org/10.1109/cec.2007.4424589openalex-snapshot
Over-Selection: An attempt to boost EDA under small population size
inferred← citeshttps://doi.org/10.1109/cec.2008.4630871openalex-snapshot
Density estimation using crossover kernels and its application to a real-coded genetic algorithm
inferred← citeshttps://doi.org/10.1109/cec.2008.4631255openalex-snapshot
Natural Evolution Strategies
inferred← citeshttps://doi.org/10.1109/cec.2009.4982982openalex-snapshot
Hybrid multiobjective estimation of distribution algorithm by local linear embedding and an immune inspired algorithm
inferred← citeshttps://doi.org/10.1109/cec.2009.4983063openalex-snapshot
Estimation of Distribution Algorithm based on copula theory
inferred← citeshttps://doi.org/10.1109/cec.2010.5585938openalex-snapshot
A novel memetic algorithm for constrained optimization
inferred← citeshttps://doi.org/10.1109/cec.2011.5949759openalex-snapshot
Training multilayer perceptrons with a Gaussian Artificial Immune System
inferred← citeshttps://doi.org/10.1109/cec.2011.5949913openalex-snapshot
Do multiple trials help Univariate methods?
inferred← citeshttps://doi.org/10.1109/cec.2012.6252957openalex-snapshot
The experimental study of population-based parameter optimization algorithms on rule-based ecological modelling
inferred← citeshttps://doi.org/10.1109/cec.2012.6256481openalex-snapshot
A continuous estimation of distribution algorithm by evolving graph structures using reinforcement learning
inferred← citeshttps://doi.org/10.1109/cec.2016.7744328openalex-snapshot
A hybrid ACO algorithm based on Bayesian factorizations and reinforcement learning for continuous optimization
inferred← citeshttps://doi.org/10.1109/cec55065.2022.9870264openalex-snapshot
DMC-GRASP: A Continuous GRASP hybridized with Data Mining
inferred← citeshttps://doi.org/10.1109/cec60901.2024.10611765openalex-snapshot
Evolutionary Deep Reinforcement Learning via Hybridizing Estimation-of-Distribution Algorithms with Policy Gradients
inferred← citeshttps://doi.org/10.1109/his.2010.5600022openalex-snapshot
A Gaussian Artificial Immune System for Multi-Objective optimization in continuous domains
inferred← citeshttps://doi.org/10.1109/ic_aset61847.2024.10596158openalex-snapshot
The Combination of Estimation of Distribution With Differential Evolution (EDDE)
inferred← citeshttps://doi.org/10.1109/icaci.2018.8377596openalex-snapshot
Improving estimation of distribution algorithms with heavy-tailed student's t distributions
inferred← citeshttps://doi.org/10.1109/icca.2010.5524432openalex-snapshot
Estimation of Distribution Algorithm sampling under Gaussian and Cauchy distribution in continuous domain
inferred← citeshttps://doi.org/10.1109/icnnb.2005.1614683openalex-snapshot
Continuous Optimization Based-on Greedy Estimation of GMM
inferred← citeshttps://doi.org/10.1109/icnnb.2005.1614946openalex-snapshot
Stock Index Modeling using EDA based Local Linear Wavelet Neural Network
inferred← citeshttps://doi.org/10.1109/tcyb.2014.2352411openalex-snapshot
Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas
inferred← citeshttps://doi.org/10.1109/tcyb.2016.2523000openalex-snapshot
Multimodal Estimation of Distribution Algorithms
inferred← citeshttps://doi.org/10.1109/tevc.2013.2247404openalex-snapshot
Scaling Up Estimation of Distribution Algorithms for Continuous Optimization
inferred← citeshttps://doi.org/10.1109/tevc.2013.2286404openalex-snapshot
Parameter Optimization Algorithms for Evolving Rule Models Applied to Freshwater Ecosystems
inferred← citeshttps://doi.org/10.1109/tevc.2014.2387433openalex-snapshot
An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods
inferred← citeshttps://doi.org/10.1109/tevc.2017.2782571openalex-snapshot
An Adaptive Estimation of Distribution Algorithm for Multipolicy Insurance Investment Planning
inferred← citeshttps://doi.org/10.1109/tevc.2023.3290670openalex-snapshot
Semiparametric Estimation of Distribution Algorithms for Continuous Optimization
inferred← citeshttps://doi.org/10.1109/tsmcc.2004.841914openalex-snapshot
Clustering and Learning Gaussian Distribution for Continuous Optimization
inferred← citeshttps://doi.org/10.1145/1143997.1144070openalex-snapshot
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
inferred← citeshttps://doi.org/10.1145/1143997.1144071openalex-snapshot
The correlation-triggered adaptive variance scaling IDEA
inferred← citeshttps://doi.org/10.1145/1276958.1277066openalex-snapshot
SDR
inferred← citeshttps://doi.org/10.1145/1276958.1277081openalex-snapshot
Cross entropy and adaptive variance scaling in continuous EDA
inferred← citeshttps://doi.org/10.1145/1389095.1389186openalex-snapshot
Designing EDAs by using the elitist convergent EDA concept and the boltzmann distribution
inferred← citeshttps://doi.org/10.1145/1569901.1569965openalex-snapshot
Approximating the search distribution to the selection distribution in EDAs
inferred← citeshttps://doi.org/10.1145/1570256.1570322openalex-snapshot
BBOB-benchmarking a simple estimation of distribution algorithm with cauchy distribution
inferred← citeshttps://doi.org/10.1145/1830761.1830830openalex-snapshot
Stochastic local search in continuous domains
inferred← citeshttps://doi.org/10.1145/3377930.3389838openalex-snapshot
Versatile black-box optimization
inferred← citeshttps://doi.org/10.1145/3377930.3390225openalex-snapshot
Leveraging conditional linkage models in gray-box optimization with the real-valued gene-pool optimal mixing evolutionary algorithm
inferred← citeshttps://doi.org/10.1145/3729878.3746624openalex-snapshot
Conditional Direct Empirical Linkage Discovery for Solving Multi-Structured Problems
inferred← citeshttps://doi.org/10.1155/2013/132697openalex-snapshot
Cyber-EDA: Estimation of Distribution Algorithms with Adaptive Memory Programming
inferred← citeshttps://doi.org/10.1155/2014/401696openalex-snapshot
Optimization Solution of Troesch’s and Bratu’s Problems of Ordinary Type Using Novel Continuous Genetic Algorithm
inferred← citeshttps://doi.org/10.1155/2019/7104702openalex-snapshot
A Hybrid Metaheuristic of Integrating Estimation of Distribution Algorithm with Tabu Search for the Max‐Mean Dispersion Problem
inferred← citeshttps://doi.org/10.1162/1063656053583478openalex-snapshot
Population-Based Continuous Optimization, Probabilistic Modelling and Mean Shift
inferred← citeshttps://doi.org/10.1162/evco_a_00068openalex-snapshot
An Intelligent Multi-Restart Memetic Algorithm for Box Constrained Global Optimisation
inferred← citeshttps://doi.org/10.1162/evco_a_00083openalex-snapshot
Experimental Comparison of Six Population-Based Algorithms for Continuous Black Box Optimization
inferred← citeshttps://doi.org/10.1162/evco_a_00094openalex-snapshot
Benchmarking Parameter-Free AMaLGaM on Functions With and Without Noise
inferred← citeshttps://doi.org/10.18637/jss.v035.i07openalex-snapshot
Mateda-2.0: AMATLABPackage for the Implementation and Analysis of Estimation of Distribution Algorithms
inferred← citeshttps://doi.org/10.20868/upm.thesis.16609openalex-snapshot
Regularized model learning in EDAs for continuous and multi-objective optimization
inferred← citeshttps://doi.org/10.2514/6.2004-1910openalex-snapshot
A Double-Distribution Statistical Algorithm for Composite Laminate Optimization
inferred← citeshttps://doi.org/10.3390/app10196937openalex-snapshot
Estimation of Distribution Algorithms with Fuzzy Sampling for Stochastic Programming Problems
inferred← citeshttps://doi.org/10.5772/8056openalex-snapshot
Efficient Estimation of Distribution Algorithms by Using the Empirical Selection Distribution
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.