On the use of statistical models of multimodal functions for the construction of the optimization algorithms

Optimization Techniques - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0006597 ◽

2005 ◽

pp. 138-147 ◽

Cited By ~ 3

Author(s):

A. Žilinskas

Keyword(s):

Statistical Models ◽

Optimization Algorithms ◽

Multimodal Functions

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Data from multimodal functions based on an array of photovoltaic modules and an approximation with artificial neural networks as a scenario for testing optimization algorithms

Data in Brief ◽

10.1016/j.dib.2019.104669 ◽

2019 ◽

Vol 27 ◽

pp. 104669

Author(s):

Carlos Robles-Algarín ◽

Diego Restrepo-Leal ◽

Adalberto Ospino Castro

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Optimization Algorithms ◽

Multimodal Functions ◽

Photovoltaic Modules ◽

Artificial Neural

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Results of the Application of Multimodal Optimization Algorithms Based on Statistical Models

COMPSTAT 1982 5th Symposium held at Toulouse 1982 ◽

10.1007/978-3-642-51461-6_71 ◽

1982 ◽

pp. 457-462 ◽

Cited By ~ 1

Author(s):

A. Žilinskas

Keyword(s):

Statistical Models ◽

Optimization Algorithms ◽

Multimodal Optimization

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Statistical Models for the Analysis of Optimization Algorithms with Benchmark Functions

IEEE Transactions on Evolutionary Computation ◽

10.1109/tevc.2021.3081167 ◽

2021 ◽

pp. 1-1

Author(s):

David Issa Mattos ◽

Jan Bosch ◽

Helena Holmstrom Olsson

Keyword(s):

Statistical Models ◽

Optimization Algorithms

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On strong homogeneity of two global optimization algorithms based on statistical models of multimodal objective functions

Applied Mathematics and Computation ◽

10.1016/j.amc.2011.07.051 ◽

2012 ◽

Vol 218 (16) ◽

pp. 8131-8136 ◽

Cited By ~ 20

Author(s):

Antanas Žilinskas

Keyword(s):

Global Optimization ◽

Statistical Models ◽

Optimization Algorithms ◽

Objective Functions

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Methods Based on Statistical Models of Multimodal Functions

Stochastic Global Optimization - Springer Optimization and Its Applications ◽

10.1007/978-0-387-74740-8_4 ◽

2007 ◽

pp. 149-244 ◽

Cited By ~ 1

Author(s):

Anatoly Zhigljavsky ◽

Antanas Žilinskas

Keyword(s):

Statistical Models ◽

Multimodal Functions

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Statistical Models: Theory and Practice

10.1017/cbo9781139165495 ◽

2005 ◽

Cited By ~ 204

Author(s):

David Freedman

Keyword(s):

Statistical Models ◽

Theory And Practice

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Current MCSS Study: Statistical models for cancer control and epidemiology

PsycEXTRA Dataset ◽

10.1037/e409002008-004 ◽

2005 ◽

Keyword(s):

Statistical Models ◽

Cancer Control

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The Prediction of Adolescents At-Risk for Attempting Suicide Using Tree-Based Statistical Models

PsycEXTRA Dataset ◽

10.1037/e698392011-001 ◽

2011 ◽

Author(s):

Eric E. Pierson ◽

Holmes W. Finch

Keyword(s):

At Risk ◽

Statistical Models

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Generation of Reduced Statistical Models for NLP and MINLP Optimization

Computers & Chemical Engineering ◽

10.1016/s0098-1354(97)00099-9 ◽

1997 ◽

Vol 21 (1-2) ◽

pp. S505-S510 ◽

Cited By ~ 2

Author(s):

S Noronha

Keyword(s):

Statistical Models

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Improve Linear Quadratic Regulator by Particle Swarm Optimization Algorithms for Two Wheeled Self Bala ncing Mobile robot

Iraqi Journal for Electrical And Electronic Engineering ◽

10.33762/eeej.2017.135280 ◽

2017 ◽

Vol 13 (2) ◽

pp. 173-179

Author(s):

A Noor.M.Mjeed ◽

A Ekhlas.H.Karam

Keyword(s):

Particle Swarm Optimization ◽

Mobile Robot ◽

Optimization Algorithms ◽

Particle Swarm ◽

Linear Quadratic Regulator ◽

Linear Quadratic ◽

Swarm Optimization

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