Výsledky vyhledávání - "estimation of distribution algorithms"

Semiparametric Estimation of Distribution Algorithms for Continuous Optimization Autor Soloviev, Vicente P., Bielza, Concha, Larranaga, Pedro

“…Traditional estimation of distribution algorithms (EDAs) often use Gaussian densities to optimize continuous functions, such as the estimation of Gaussian…”
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A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling Autor Ran Cheng, Yaochu Jin, Narukawa, Kaname, Sendhoff, Bernhard

“…To approximate the Pareto front, most existing multiobjective evolutionary algorithms store the nondominated solutions found so far in the population or in an…”
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How majority-vote crossover and estimation-of-distribution algorithms cope with fitness valleys Autor Witt, Carsten

“…The benefits of using crossover in crossing fitness gaps have been studied extensively in evolutionary computation. Recent runtime results show that…”
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A hybrid method based on estimation of distribution algorithms to train convolutional neural networks for text categorization Autor Toledano-López, Orlando Grabiel, Madera, Julio, González, Hector, Simón-Cuevas, Alfredo

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EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization Autor Shirazi, Abolfazl, Ceberio, Josu, Lozano, Jose A.

“…Handling nonlinear constraints in continuous optimization is challenging, and finding a feasible solution is usually a difficult task. In the past few decades,…”
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Runtime Analysis of the Compact Genetic Algorithm on the LeadingOnes Benchmark Autor Chwialkowski, Marcel, Doerr, Benjamin, Krejca, Martin S.

“…The compact genetic algorithm (cGA) is one of the simplest estimation-of-distribution algorithms (EDAs). Next to the univariate marginal distribution algorithm…”
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Sharp Bounds for Genetic Drift in Estimation of Distribution Algorithms Autor Doerr, Benjamin, Zheng, Weijie

“…Estimation of distribution algorithms (EDAs) are a successful branch of evolutionary algorithms (EAs) that evolve a probabilistic model instead of a…”
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Estimation of Distribution Algorithms in Machine Learning: A Survey Autor Larranaga, Pedro, Bielza, Concha

“…The automatic induction of machine learning models capable of addressing supervised learning, feature selection, clustering, and reinforcement learning…”
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Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques Autor Shirazi, Abolfazl, Ceberio, Josu, Lozano, Jose A.

“…In this paper, a direct approach is developed for discovering optimal transfer trajectories of close-range rendezvous of satellites considering disturbances in…”
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Bivariate estimation-of-distribution algorithms can find an exponential number of optima Autor Doerr, Benjamin, Krejca, Martin S.

“…Finding a large set of optima in a multimodal optimization landscape is a challenging task. Classical population-based evolutionary algorithms typically…”
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Leveraging probabilistic inference for robust calibration of microscopic traffic models Autor Rafati Fard, Mehdi

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Process optimization of microbial fermentation with parameter uncertainties via distributionally robust discrete control Autor Wang, Juan, Chen, Chihua, Zhao, Feiyan, Wang, Jichao, Li, An

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Parameterless Gene-Pool Optimal Mixing Evolutionary Algorithms Autor Dushatskiy, Arkadiy, Virgolin, Marco, Bouter, Anton, Thierens, Dirk, Bosman, Peter A N

“…When it comes to solving optimization problems with evolutionary algorithms (EAs) in a reliable and scalable manner, detecting and exploiting linkage…”
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Estimation-of-distribution algorithms for multi-valued decision variables Autor Ben Jedidia, Firas, Doerr, Benjamin, Krejca, Martin S.

“…The majority of research on estimation-of-distribution algorithms (EDAs) concentrates on pseudo-Boolean optimization and permutation problems, leaving the…”
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An enhanced multi-objective evolutionary optimization algorithm with inverse model Autor Zhang, Zhechen, Liu, Sanyang, Gao, Weifeng, Xu, Jingwei, Zhu, Shengqi

“…Multi-objective evolutionary algorithm based on the inverse model (IM-MOEA) is a popular method to solve multi-objective optimization problems (MOPs). However,…”
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An estimation of distribution algorithm based on interactions between requirements to solve the bi-objective Next Release Problem Autor del Sagrado, José, Sierra Ibañez, José Antonio, del Águila, Isabel M.

“…Selecting the appropriate requirements to develop in the next release of an open market software product under evolution, is a compulsory step of each software…”
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An introduction and survey of estimation of distribution algorithms Autor Hauschild, Mark, Pelikan, Martin

“…Estimation of distribution algorithms (EDAs) are stochastic optimization techniques that explore the space of potential solutions by building and sampling…”
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DGS-EDA: A double-guided sampling estimation of distribution algorithm for multi-robot task assignment as a permutation optimization problem Autor López, Blanca, Moreno, Luis, Monje, Concepción A.

“…Task assignment refers to the challenge of efficiently allocating tasks, duties, or resources among members of a system. This work investigates the multi-robot…”
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The Competing Genes Evolutionary Algorithm: Avoiding Genetic Drift Through Competition, Local Search, and Majority Voting Autor Ajimakin, Adetunji David, Devi, V. Susheela

“…An estimation-of-distribution algorithm is an evolutionary algorithm that uses a probabilistic model to represent its population. It iteratively draws…”
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Knowledge-guided parameter updating of deformation analysis model for rockfill dams using modified copula-based estimation distribution algorithms Autor Ai, Zhitao, Ma, Gang, Wang, Di, Wang, Jiawei, Zhou, Wei

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