Optimal Maintenance Policy for a Technical System Subject to Hidden Faults and Randomly Occurring Hazards [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2021 The paper presents a method of finding the optimal time between inspections for a system subject to degradation-related faults which make the system vulnerable to randomly occurring external hazards that may cause its damage.
Jacek Malinowski
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Toward an Ideal Particle Swarm Optimizer for Multidimensional Functions
Information, 2022 The Particle Swarm Optimization (PSO) method is a global optimization technique based on the gradual evolution of a population of solutions called particles. The method evolves the particles based on both the best position of each of them in the past and
Vasileios Charilogis, Ioannis G. Tsoulos
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A Feature Construction Method That Combines Particle Swarm Optimization and Grammatical Evolution
Applied Sciences, 2023 The problem of data classification or data fitting is widely applicable in a multitude of scientific areas, and for this reason, a number of machine learning models have been developed. However, in many cases, these models present problems of overfitting
Ioannis G. Tsoulos, Alexandros Tzallas
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Challenges of integrated variance estimation in emerging stock markets [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019 Estimating integrated variance, using high frequency data, requires modelling experience and data crunching skills. Although intraday returns have attracted much attention in recent years, handling these data is challenging because of their ...
Josip Arnerić, Mario Matković
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Archives of Public Health, 2022 Background The role played by large-scale repetitive SARS-CoV-2 screening programs within university populations interacting continuously with an urban environment, is unknown.
Vincent Denoël +14 more
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Identification of Soil Mechanical Parameters by Inverse Analysis Using Stochastic Methods
Selected Scientific Papers: Journal of Civil Engineering, 2022 The mechanical parameters of the soil that must be introduced into geotechnical calculations, in particular those carried out by the Finite Element Method, are often poorly understood.
Moufida Moussaoui +4 more
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Biomass Hydrothermal Carbonization: Markov-Chain Monte Carlo Data Analysis and Modeling
Frontiers in Chemical Engineering, 2021 This paper introduces Bayesian statistical methods for studying the kinetics of biomass hydrothermal carbonization. Two simple, specially developed computer programs implement Markov-chain Monte Carlo methods to illustrate these techniques' potential ...
Alberto Gallifuoco +2 more
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A Hybrid Stochastic Deterministic Algorithm for Solving Unconstrained Optimization Problems
Mathematics, 2022 In this paper, a new deterministic method is proposed. This method depends on presenting (suggesting) some modifications to existing parameters of some conjugate gradient methods.
Ahmad M. Alshamrani +4 more
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Training Artificial Neural Networks Using a Global Optimization Method That Utilizes Neural Networks
AI, 2023 Perhaps one of the best-known machine learning models is the artificial neural network, where a number of parameters must be adjusted to learn a wide range of practical problems from areas such as physics, chemistry, medicine, etc.
Ioannis G. Tsoulos, Alexandros Tzallas
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NeuralMinimizer: A Novel Method for Global Optimization
Information, 2023 The problem of finding the global minimum of multidimensional functions is often applied to a wide range of problems. An innovative method of finding the global minimum of multidimensional functions is presented here.
Ioannis G. Tsoulos +3 more
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