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Modeling and Optimizing the Multi-Objective Portfolio Optimization Problem with Trapezoidal Fuzzy Parameters

Alejandro Estrada-Padilla, Daniela Lopez-Garcia, Claudia Gómez-Santillán, Héctor Joaquín Fraire-Huacuja, Laura Cruz-Reyes, Nelson Rangel-Valdez, María Lucila Morales-Rodríguez
2021 Mathematical and Computational Applications  
One approach integrates the Fuzzy Adaptive Multi-objective Evolutionary (FAME) methodology; the other two apply the Non-Dominated Genetic Algorithm (NSGA-II) methodology.  ...  Hence, this work proposes to tackle MOPOP's uncertainty with a new optimization model based on fuzzy trapezoidal parameters.  ...  The Fuzzy Adaptive Multi-objective Evolutionary solution methodology (FAME) has had great success in many optimization problems; however, there is a lack of studies about its performance on the POP.  ... 
doi:10.3390/mca26020036 doaj:17fd3836ac8d43bcb758c9a01cdff090 fatcat:vqllhkmvfndqjmool7ovyuj43a

A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment

Sana Iqbal, Mohammad Sarfraz, Mohammad Ayyub, Mohd Tariq, Ripon K. Chakrabortty, Michael J. Ryan, Basem Alamri
2021 Sustainability  
The application of soft computing techniques such as Fuzzy Logic (FL), Artificial Neural Network (ANN), and Evolutionary Computation (EC) is discussed to deal with energy consumption minimization and scheduling  ...  Different optimization-based DSM approaches are also reviewed. We have also reviewed the practical aspects of DSM implementation for smart energy management.  ...  Author Contributions: All authors contributed equally in the preparation of the manuscript. All  ... 
doi:10.3390/su13137170 fatcat:ncqdp7pk7ndq5ffhqmcd3glbym

Enhancing reinforcement learning by a finite reward response filter with a case study in intelligent structural control [article]

Hamid Radmard Rahmani, Carsten Koenke, Marco A. Wiering
2020 arXiv   pre-print
We have applied the developed method to a structural control problem in which the goal of the agent is to reduce the vibrations of a building subjected to earthquake excitations with a specified delay.  ...  The results show that the enhanced method significantly outperforms the performance of the original method in all cases, and also improves the stability of the algorithm in dealing with action-effect delays  ...  Intelligent control uses various approaches such as fuzzy logic, machine learning, evolutionary computation, or combinations of these methods such as neuro-fuzzy [25] or genetic-fuzzy [24] controllers  ... 
arXiv:2010.15597v1 fatcat:okhgjolryrgxtj4i7ko7micyae

A sustainable transportation-location-routing problem with soft time windows for distribution systems

Masoud Rabbani, Fatemeh Navazi, Hamed Farrokhi-Asl, Mohammad Hasan Balali
2018 Uncertain Supply Chain Management  
A novel multi-objective hybrid algorithm called MHPV that is the hybrid of MOPSO and Adapted Multi-Objective Variable Neighborhood Search (AMOVNS) was proposed for the problem.  ...  Non dominated sorting genetic algorithm The evolutionary population-based metaheuristic, Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) is the superior multi-objective version of Genetic Algorithm  ... 
doi:10.5267/j.uscm.2017.12.002 fatcat:hql66djicfghtcn3dxmta6telq

Artificial Intelligence in Bio-Medical Domain

Muhammad Salman, Abdul Wahab, Omair Ahmad, Basit Raza, Khalid Latif
2017 International Journal of Advanced Computer Science and Applications  
The main purpose of this paper is to explore the area of medical and health-care with respect to AI along with 'Machine Learning', and 'Neural Networks'.  ...  These systems and applications are widely used throughout the world and a ranking mechanism of their performance has proposed accordingly in an organized manner.  ...  in Medicine: Evolutionary computation is a general expression for various computational methods which is based on the process of natural evolution that mimics the procedure of natural selection.  ... 
doi:10.14569/ijacsa.2017.080842 fatcat:p7wurhzxwbd3vhcixkity2y5iq

Peer-to-Peer beyond file sharing: Where are P2P systems going?

Renato Lo Cigno, Tommaso Pecorella, Matteo Sereno, Luca Veltri
2009 2009 IEEE International Symposium on Parallel & Distributed Processing  
In this paper we try to give a positive answer to the first question, highlighting reasons why the P2P paradigm should become an integral part of computing and communication services and not only oddities  ...  Or are they a bright meteor whose destiny is to disappear soon?  ...  Acknowledgements In some broad sense this paper represents a summary of the Profiles project itself.  ... 
doi:10.1109/ipdps.2009.5160958 dblp:conf/ipps/CignoPSV09 fatcat:minjssj4vvhu3nz24wsln67l6m

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., TIP 2020 6006-6016 Fuzzy logic Enhanced Fuzzy-Based Local Information Algorithm for Sonar Image Seg- mentation.  ...  Zhang, L., +, TIP 2020 3534-3545 A Novel Saliency Detection Algorithm Based on Adversarial Learning Model.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

A Survey of Swarm Intelligence Based Load Balancing Techniques in Cloud Computing Environment

M. A. Elmagzoub, Darakhshan Syed, Asadullah Shaikh, Noman Islam, Abdullah Alghamdi, Syed Rizwan
2021 Electronics  
An analysis of the main objectives, area of applications, and targeted issues of each algorithm (with advancements) is presented.  ...  This paper provides a survey of load balancing algorithms inspired by swarm intelligence (SI).  ...  The first module is uses a Genetic Algorithm for selecting optimum arrangements of tasks, and the second module is for fuzzy logic.  ... 
doi:10.3390/electronics10212718 fatcat:rj2ibmxflncudbavkteb2cax74

Federated management of the Future Internet: status and challenges

Jeroen Famaey, Filip De Turck
2012 International Journal of Network Management  
Additionally, there has been a trend from simple applications offered by a single provider, towards service compositions, managed across the bounds of multiple domains.  ...  The Internet's original static services have been superseded by rich multimedia services with stringent end-to-end QoS requirements.  ...  More recently, they outlined a novel policy conflict analysis algorithm for federal management policies [71] based on this extended model.  ... 
doi:10.1002/nem.1813 fatcat:vnerfqfcyfcsvcry7jb74t7mri

The Roles and Modes of Human Interactions with Automated Machine Learning Systems [article]

Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
2022 arXiv   pre-print
Within this context, we focus on the following questions: (i) How does HCI currently look like for state-of-the-art AutoML algorithms, especially during the stages of development, deployment, and maintenance  ...  Ultimately, this review serves to identify key research directions aimed at better facilitating the roles and modes of human interactions with both current and future AutoML systems.  ...  Indeed, the integration of fuzzy rules into learning algorithms can aid with reasoning/explaining the internal logic of black-box ML models such as neural networks [217] and support vector machines  ... 
arXiv:2205.04139v1 fatcat:kfo3oybsjvfs5gjyt2j3dbaali

Cost-to-Go Function Approximation [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
It maintains a set, S , of most specific hypotheses that are consistent with the training data and a set, G, of most general hypotheses consistent with the training data.  ...  Mitchell's, (1982; candidate-elimination algorithm performs a bidirectional search in the hypothesis space.  ...  The COVERING algorithm starts with an empty theory.  ... 
doi:10.1007/978-1-4899-7687-1_100093 fatcat:vse7ncdqs5atlosjhz7fhlj3im

The sociology of creativity: Part I: Theory: The social mechanisms of innovation and creative developments in selectivity environments

Tom R. Burns, Nora Machado, Ugo Corte
2015 Human Systems Management  
Creativity is a universal activity, essential in an evolutionary perspective, to adaptation and sustainability.  ...  This first part of a three part article on the sociology of creativity has three purposes: (1) to develop the argument that key factors in creative activity are socially based and developed; hence, sociology  ...  Acknowledgments We are grateful to earlier collaboration with Tom Baumgartner, Marcus Carson, Philippe DeVille, Jerry Ellig, Peter Hall, Ilan Kelman, and Alison Woodward who have played a significant role  ... 
doi:10.3233/hsm-150839 fatcat:73vxqctaubaztfalcs332dzgcy

The role of pattern recognition in creative problem solving: A case study in search of new mathematics for biology

Felix T. Hong
2013 Progress in Biophysics and Molecular Biology  
This approach is in line with Campbell's evolutionary epistemology.  ...  By treating problem solving as a process of pattern recognition, the known dichotomy of visual thinking vs. verbal thinking can be recast in terms of analog pattern recognition (non-algorithmic process  ...  The author also takes this opportunity to remember a very special individual: Michael Conrad of Wayne State University.  ... 
doi:10.1016/j.pbiomolbio.2013.03.017 pmid:23597605 fatcat:y6cnc2scnjcsbh6m3qz72a4kzu

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

Editor CIS
2010 Computer and Information Science  
A Knowledge Innovation Algorithm Based on Granularity  ...  The computation-Intelligence-based CAC use evolutionary approaches like Genetic Algorithm (GA), fuzzy logic and Artificial Neural Networks(ANN) (R.T.Marler and J.S.  ...  Arora, 2004).Majority of the computational-intelligence-based CAC algorithms incorporate fuzzy logic(P.M.L. Chan, R.E. Sheriff, Y.F. Hu, P. Conforto, C. Tocci, 2001), fuzzy neural(R. Agusti, O.  ... 
doi:10.5539/cis.v3n1p0 fatcat:lest4lycincrhb3aojneniqgci

Statistical shape modeling in virtual assembly using PCA-technique

Björn Lindau, Lars Lindkvist, Alf Andersson, Rikard Söderberg
2013 Journal of manufacturing systems  
One of the final demonstrators, to be built at KTH, is also developed with the collaboration of XPRES (eXcellence in Production RESearch), a Swedish national R&D initiative.  ...  References Acknowledgements This work has been conducted as a part of the research project KUPP founded by the Norwegian Research Council, and in cooperation with the industrial partners Kongsberg Automotive  ...  Nature does not propose an evolutionary change based on a single factor, nor does it do so by selecting a single motivating factor.  ... 
doi:10.1016/j.jmsy.2013.02.002 fatcat:eaucg4ewmre3lefsbiihax6tza
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