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Engineering Evolutionary Intelligent Systems: Methodologies, Architectures and Reviews
[chapter]
2008
Studies in Computational Intelligence
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We also provide a review of some of the recent interesting evolutionary intelligent system frameworks reported in the literature. ...
In this Chapter, we illustrate the various possibilities for designing intelligent systems using evolutionary algorithms and also present some of the generic evolutionary design architectures that has ...
[6] proposed an evolutionary method for the design of beta basis function neural networks (BBFNN) and beta fuzzy systems (BFS). ...
doi:10.1007/978-3-540-75396-4_1
fatcat:xplkbxzk4vbpbmnp4zxrjomj3q
A Multi-Agent Architecture for the Design of Hierarchical Interval Type-2 Beta Fuzzy System
2019
IEEE transactions on fuzzy systems
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Index Terms-Beta function, hierarchical representation, interval type-2 fuzzy system, multi-agent architecture, multi-objective structure learning.
I. ...
Such tree structural representation has by nature a flexible design offering more adjustable and modifiable structures. ...
doi:10.1109/tfuzz.2018.2871800
fatcat:gzjgded3xzclpmofyeqjktul7a
Review on Multi-Objectives Optimization Methods in Hybrid Power Generation
2019
Journal of Engineering Science and Technology Review
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This paper would like to investigate more detailed about the multi-objectives optimization techniques in hybrid power generation for the reasons of popularity of techniques in recent years. ...
In future, the fast and accurate computational capabilities with simple algorithms are expecting to play important role for the solution of multi-objective optimization tasks in hybrid power generation ...
Acknowledgement This research is granted by the National Ministry of Research, Technology and Higher Education of Indonesia under Program of Scheme for Academic and Mobility Exchange (SAME) 2018. ...
doi:10.25103/jestr.121.17
fatcat:klyp3xu44bfvzhoeyfolgnsvj4
2019 Index IEEE Transactions on Fuzzy Systems Vol. 27
2019
IEEE transactions on fuzzy systems
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., +, TFUZZ Dec. 2019 2353-2367
Evolutionary computation
A Multi-Agent Architecture for the Design of Hierarchical Interval Type-2
Beta Fuzzy System. ...
Multi-Agent Architecture for the Design of Hierarchical Interval Type-2 Beta Fuzzy System. ...
Nonlinear filters Adaptive Neuro-Fuzzy Control for Discrete-Time Nonaffine Nonlinear Systems. Gil ...
doi:10.1109/tfuzz.2020.2966828
fatcat:pgfo5oksjrdbpa5s534ky74bie
Welcome message from the General Chairs
2009
2009 International Workshop on Satellite and Space Communications
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Each paper was reviewed by at least two reviewers (most papers received three reviews each). ...
This year we received a total of 153 high-quality papers from more than 20 countries. Many papers demonstrated notable systems with good analytical and/or empirical analyses. ...
This paper presents a multi-objective approach for making melody compositions in evolutionary music. ...
doi:10.1109/iwssc.2009.5286448
fatcat:wcu4uzasizhzjmdkzyekynnqwi
Hierarchical multi-dimensional differential evolution for the design of beta basis function neural network
2012
Neurocomputing
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This paper proposes a hierarchical multi-dimensional differential evolution (HMDDE) algorithm, which is an automatic computational frame work for the optimization of beta basis function neural network ...
In the HMDDE-designed neural network, the number of individuals of the population multi-dimensions is the number of beta neural networks. ...
Acknowledgment The authors would like to acknowledge the financial support of this work by grants from the General Direction of Scientific Research (DGRST), Tunisia, under the ARUB program. ...
doi:10.1016/j.neucom.2012.04.008
fatcat:2zjtia22pfezthd5eilr7x262q
Recent Literature
2007
Fuzzy sets and systems (Print)
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Ong, Optimal fuzzy multi-criteria expansion of competence sets using multi-objective evolutionary algorithms, Expert Systems Appl. 30 (2006) 739-745. A.M. Sharif, Z. ...
Alimi, MAGAD-BFS: a learning method
for beta fuzzy systems based on a multi-agent genetic
algorithm, Soft Comput. 10(9) (2006) 757-772.
S.K. Oh, W. Pedrycz, H.S. ...
doi:10.1016/j.fss.2007.01.002
fatcat:6d6kezwq2je25mb4us4ieruas4
Particle Swarm Optimization Methods, Taxonomy and Applications
2009
Journal of clean energy technologies
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Next, these methods are studied separately and their important factors and parameters are summarized in a comparative table. In addition, a new taxonomy of PSO-based methods is presented. ...
In this paper, following a brief introduction to the PSO algorithm, the chronology of its evolution is presented and all major PSO-based methods are comprehensively surveyed. ...
Vector Evaluated PSO (VEPSO) -This algorithm is a novel algorithm based on a multi-objective interaction sort of the PSO [58] . VEPSO is a co-evolutionary multi-objective variant of the popular PSO. ...
doi:10.7763/ijcte.2009.v1.80
fatcat:nwuursqzyzefxl5dadvhdxlbda
Optimal design of PD-Fuzzy-PID cascaded controller for automatic generation control
2017
Cogent Engineering
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In this research paper a novel cascaded PD-Fuzzy-PID controller is recommended for a conventional hybrid-source unified power system for automatic generation control. ...
The optimization of scaling parameters of the suggested PD-Fuzzy-PID controller is done by hybrid Grey Wolf Optimization-Teaching Learning Based Optimization (GWO-TLBO) technique. ...
Hybrid evolutionary algorithm based fuzzy logic controller for automatic generation control of power systems with governor dead band non-linearity was effectively proposed in by O. Singh et al. ...
doi:10.1080/23311916.2017.1416535
fatcat:7mqp5zpylvcc3lo4fwbpv5jvre
PSO-based update memory for Improved Harmony Search algorithm to the evolution of FBBFNT' parameters
2014
2014 IEEE Congress on Evolutionary Computation (CEC)
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In this paper, a PSO-based update memory for Improved Harmony Search (PSOUM-IHS) algorithm is proposed to learn the parameters of Flexible Beta Basis Function Neural Tree (FBBFNT) model. ...
These parameters are the Beta parameters of each flexible node and the connected weights of the network. ...
FLEXIBLE BETA BASIS FUNCTION NEURAL TREE MODEL The initiative of using Beta function for designing Artificial Neural Network was introduced by Alimi [16] . ...
doi:10.1109/cec.2014.6900304
dblp:conf/cec/BouazizAA14
fatcat:373vh64xjbawndxjq7pzu5dumm
Design and Analysis of Optimization based Integrated ANFIS- PID Controller for Networked Controlled Systems (NCSs)
2020
Cogent Engineering
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Also, this presented ANFIS-PID controller is a modified version of traditional ANFIS approach and it is optimized by using Grey Wolf Optimization (GWO) algorithm. ...
However, it is analyzed that Fuzzy-PID approach lacks in some aspects that leads to inefficient system performance. Therefore, in this paper, a novel and more efficient approach is introduced, i.e. ...
Always the omega wolves have to offer to the rest entire hierarchical wolves. If a wolf is not an alpha, beta, or omega is known as delta wolf in a grey wolf family. ...
doi:10.1080/23311916.2020.1772944
fatcat:n47i2avxknd4lluo5u5vups6du
A Consolidated Review of Path Planning and Optimization Techniques: Technical Perspectives and Future Directions
2021
Electronics
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This paper covers the numerical, bio-inspired techniques and their hybridization with each other for each of the dimensions mentioned. ...
various issues in a summarized way. ...
They came up with three new parameters involved in the implementation of a hierarchical division that affects the positions of alpha, beta, and gamma; they are: (i) fuzzy weights, (ii) weighted average ...
doi:10.3390/electronics10182250
fatcat:xxbfslyes5ctpfktnprezb6p6m
2020 Index IEEE Transactions on Sustainable Energy Vol. 11
2020
IEEE Transactions on Sustainable Energy
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Jamali, A., +, TSTE July 2020
1210-1219
Design engineering
Maximum Power Generation Control of a Hybrid Wind Turbine Transmis-
sion System Based on H∞ Loop-Shaping Approach. ...
., +, TSTE April 2020 571-583 Hybrid Beta-KDE Model for Solar Irradiance Probability Density Estimation. ...
doi:10.1109/tste.2020.3029733
fatcat:6eucku5sfrg47gv32e5wqaimm4
Neuro-Fuzzy Ensemble Approach for Microarray Cancer Gene Expression Data Analysis
2006
2006 International Symposium on Evolving Fuzzy Systems
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Some other supervised learning approaches, such as Support Vector Machines (SVM), Multi-Layer Perceptions (MLP) and Decision Trees (DT) are also widely used in practice. ...
In this study, we attempt to use a different tool, Neuro-Fuzzy models (NF). ...
The package will include six modules: • Gene Selection Module; • Single Neuro-Fuzzy Module; • Evolutionary Neuro-Fuzzy Module; • Neuro-Fuzzy Ensemble Module; • Hierarchical Neuro-Fuzzy Module; • Hierarchical ...
doi:10.1109/isefs.2006.251144
fatcat:dlwoemzvkfd47m5q5gdi6vjwiq
A review on genetic algorithm: past, present, and future
2020
Multimedia tools and applications
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The future research directions in the area of genetic operators, fitness function and hybrid algorithms are discussed. This structured review will be helpful for research and graduate teaching. ...
Kaur and Kumar [96] developed a multi-objective genetic algorithm to optimize the control parameters of chaotic map. The secret key was generated using beta chaotic map. ...
The energy requirements in water irrigation systems can be optimized by viewing it as a multi-objective optimization problem. ...
doi:10.1007/s11042-020-10139-6
pmid:33162782
pmcid:PMC7599983
fatcat:bg6phhszfzfbrjwazncc5p34bi
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