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Multi‐objective optimization of photovoltaic/wind/biomass/battery‐based grid‐integrated hybrid renewable energy system

Yadala Pavankumar, Ravindra Kollu, Sudipta Debnath
2021 IET Renewable Power Generation  
Therefore, it is difficult to choose optimal RES with a proper energy storage system (ESS) for the economic and reliable operation of the grid-integrated hybrid renewable energy system (HRES).  ...  In this study, optimal photovoltaic, wind, biomass, and battery-based gridintegrated HRES is proposed using a multi-objective artificial cooperative search algorithm (MOACS) to minimise annual life cycle  ...  [14] presented a fuzzy FIGURE 1 Grid-integrated hybrid system logic-grey wolf optimization technique with an objective to minimise the operating cost of the HRES system.  ... 
doi:10.1049/rpg2.12131 fatcat:afjjfpeakfgdzfyc5fscszksi4

Mathematical Modelling as a Tool for Optimized PHA Production
english

M. Novak
2015 Chemical and Biochemical Engineering Quarterly  
The targets of modelling were the multi-rate model predictive control algorithm, a continuous flow bioreactor with cell recycling, PHB productivity and the permeate flux through a micro-filter acting as  ...  After good prediction accuracy was reached by RSM and ANN based models, the genetic algorithm (GA) was applied to optimize the input space with an objective to maximize the process performances (in this  ... 
doi:10.15255/cabeq.2014.2101 fatcat:sbnabwlayvh6ji4qfgy3t33adq

Metaheuristics for Rich Portfolio Optimisation and Risk Management: Current State and Future Trends

Jana Doering, Renatas Kizys, Angel A. Juan, Àngels Fitó, Onur Polat
2019 Operations Research Perspectives  
A B S T R A C T Computational finance is an emerging application field of metaheuristic algorithms.  ...  This paper reviews the scientific literature on the use of metaheuristics for solving NP-hard versions of these optimisation problems and illustrates their capacity to provide high-quality solutions under  ...  Acknowledgement This work has been partially supported with a doctoral grant from the Universitat Oberta de Catalunya and the Erasmus+ program (2018-1-ES01-KA103-049767).  ... 
doi:10.1016/j.orp.2019.100121 fatcat:ncxpgmkqczdgfl34albgx7z32m

Computer and Information Science, Vol. 3, No. 1, February, 2010

Editor CIS
2010 Computer and Information Science  
A Knowledge Innovation Algorithm Based on Granularity  ...  This method is a kind of random optimization algorithm to simulate natural selection and genetic mechanism, and it only needs the objective function to be the optimization information, and find the optimal  ...  And many other researchers took the routing selection network and the confirmation of the communication chain capacity as the optimized objectives, and used the genetic algorithm (Yue, 2009, P.205-206  ... 
doi:10.5539/cis.v3n1p0 fatcat:lest4lycincrhb3aojneniqgci

A design methodology for 2D sparse NDE arrays using an efficient implementation of refracted-ray TFM

Jerzy Dziewierz, Timothy Lardner, Anthony Gachagan
2013 2013 IEEE International Ultrasonics Symposium (IUS)  
Background, Motivation and Objective Developing new technologies that enable the repair or replacement of diseased or injured tissues and organs is a major focus of tissue engineering.  ...  One of these technologies takes advantage of the acoustic radiation forces associated with ultrasound standing wave fields to spatially pattern cells within collagen-based hydrogels.  ...  The authors acknowledge the ANR and DGA for their support under the project Metactif, grant ANR-11-ASTR-015.  ... 
doi:10.1109/ultsym.2013.0035 fatcat:th5znfh7y5bklfdbmhb4u6iq2i

Bayesian binary quantile regression for the analysis of Bachelor-to-Master transition

Cristina Mollica, Lea Petrella
2016 Journal of Applied Statistics  
methods for Predictive and Exploratory Path modeling  ...  The working group (WG) CMStatistics comprises a number of specialized teams in various research areas of computational and methodological statistics.  ...  By relying on heuristics, we introduce a new algorithm for optimal ABC' model selection and estimation.  ... 
doi:10.1080/02664763.2016.1263835 fatcat:l5eyielgxrct7hq5ljqeej5ccy

Biomedical Technology - 2011 and Beyond

Vladimir Blazek
2011 Communications - Scientific Letters of the University of Zilina  
Fuzzy decision trees are able to deal with imprecise real life data and are based on fuzzy classification rules. These methods work independently.  ...  An analytical module for child monitoring was proposed that utilises two methods: logistic regression and Fuzzy decision tree. Logistic regression is a technique used for prediction.  ...  This work was supported by grant of the Slovak Grant Agency VEGA, project No. 1/0308/08. The authors express their thanks to Prof. R. Grimberg for lending the valve prototypes.  ... 
doi:10.26552/com.c.2011.1.5-12 fatcat:wrjlifz3obbvho3gk5375eudem

Evolution of intelligence

H.M. Hubey
2002 Kybernetes  
of intelligence with environmental and genetic factors 5) intelligence is about 100% inherited on a global absolute (ratio) scale which is the natural (dimensionless) scale for measuring variables in social  ...  use for a century, 2) the related concept of "genetics" creating its own environment is simply another way of saying that the interaction of genetics and environment is multiplicative as in (1), 3) path  ...  Normally in mathematics we deal with a set of objects upon which another set of objects (called operators) act thus changing the objects of our attention to other objects.  ... 
doi:10.1108/03684920210422557 fatcat:pc2dwhwmercfvcgqxb4v46caci

Metabolomics Circle 2017 — Abstracts

Medical Research Journal
2017 Medical Research Journal  
It should include samples that represent all present and expected sources of variability. The second aspect is related to the selection of the optimal number of components or logic rules.  ...  I will also describe recently developed approaches for recovery of quantitative lipoprotein data from 1 H NMR profiles of plasma and serum samples [2] that have been assessed in a multi-laboratory, multi-spectrometer  ...  Therefore, in the diagnosis and treatment of Parkinson's disease identification of metabolites in body fluids may be helpful.  ... 
doi:10.5603/mrj.2017.0009 fatcat:decttydbpjeg3k2bss4szlx3pi

A generic model to handle complexity in collaborative networks

Maike Scherrer-Rathje, Jens Arnoscht, Peter Egri, Eric Braun, Balazs C Csaji, Gunther Schuh
2009 PICMET '09 - 2009 Portland International Conference on Management of Engineering & Technology  
An evolutionary algorithm with Bayesian learning of its opponent's preferences according to the history of the counter offers and genetic algorithms (GA) are used to optimize the parameters of the fuzzy  ...  clustering the trends in vague conditions by comparing the results of hard c-means and fuzzy c-means algorithms.  ...  The model focus is to select, capture and disseminate knowledge that is key for the launch operations success.  ... 
doi:10.1109/picmet.2009.5262237 fatcat:qj6qsep2wzckvefpxq7soiy6q4

Development and optimization of a concentrating photovoltaic/thermal cogeneration system [article]

Ioannis Karathanassis, National Technological University Of Athens, National Technological University Of Athens
2015
Acknowledgements The present doctoral dissertation was assigned by the Department of Fluids of the National Technical University in collaboration with the Solar and other Energy Systems Laboratory of the  ...  First of all, I would like to thank Professor G. Bergeles, for the trust shown in me, his solid guidance through the whole work, as well as his  ...  by means of a graphical method Multi-objective optimization techniques in combination with genetic algorithms have also been proven to be suitable solution methods for problems where multiple criteria  ... 
doi:10.26240/heal.ntua.1706 fatcat:wyizdadaijfbbntgw2w6fviduu

Dynamic assessment and optimization of catalytic hydroprocessing process: sensitivity analysis and practical tips

Abbas Azarpour Hassankiadeh
2021
Catalyst deactivation is a key aspect in the design and operation of catalytic processes in petrochemical industry.  ...  First, the model reliability is assessed through the comparison of the model results with the industrial data.  ...  The best-known evolutionary computation algorithms are genetic algorithms (GAs), evolution strategies, evolutionary programming, and genetic programming.  ... 
doi:10.48336/ynxc-6b77 fatcat:qkno5jro75ggjcufojvt6zy32q

CHARACTERIZATION OF A CUFF-BASED SHAPE MEMORY ALLOY (SMA) ACTUATOR

Gang Wang, Michael Poscente, Simon Park, Orly Yadid-Pecht, Martin Mintchev
2015 Number 1 International Journal "Information Theories and Applications   unpublished
Testing results demonstrated that this actuator can produce a maximum penetration force of 160gf and a maximum displacement depth of 2.45mm, which both exceed the minimum force and depth requirements for  ...  It aims to provide an actuator solution for an electronic mosquito-like device, e-Mosquito, which enhances blood glucose measurement to off the potential to significantly improve both the quality of life  ...  Acknowledgements The paper is published with partial support by the project ITHEA XXI of the ITHEA ISS (www.ithea.org) and the ADUIS (www.aduis.com.ua).  ... 
fatcat:6yhy352itzae7ec7q56evuzloy

Tecnologias, Técnicas e Tendências em Engenharia Biomédica [article]

Adriano de Oliveira Andrade, Alcimar Barbosa Soares, Alexandre Cardoso, Edgard Afonso Lamounier
2022 Zenodo  
Dawn Walker from Computer Science Department, University of Sheffield, for the permission to publish figure 8 .  ...  Acknowledgement This research was part of the DFG/TR233/12 -"Advancement and Systematic Validation of an Automated Pain Recognition System on the Basis of Facial Expression and Psychobiological Parameters  ...  The implementation of adaptive BCIs that use software agents based on genetic algorithms for selection of automatic features, shows that it is possible to obtain a set of reduced features and/or channels  ... 
doi:10.5281/zenodo.6472648 fatcat:dmya6w645feg7oe54l5swdveuy

Megascopic Quantum Phenomena [chapter]

Michal Svrček
2020 Progress in Theoretical Chemistry and Physics  
representations of all basic microscopic quantum axioms with further readings for teleonomic megascopic quantum phenomena, which have no microscopic rationale: isomeric transitions, Jahn-Teller effect  ...  Along with phonons two types of new quasiparticles appear: rotons and translons.  ...  Brändas for his careful reading of the manuscript, offering many linguistic improvements, as well as extensive constructive suggestions for valuable reformulations.  ... 
doi:10.1007/978-3-030-34941-7_14 fatcat:evfaydu4enbl7cwueohugtv6du
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