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Aspects of Structure and Parameters Selection of Control Systems Using Selected Multi-Population Algorithms [chapter]

Krystian Łapa, Jacek Szczypta, Rajasekar Venkatesan
2015 Lecture Notes in Computer Science  
It is based on multi-population algorithms and allows to select not only parameters of control systems, but also its structure.  ...  In this paper a new approach for automatic design of control systems is presented.  ...  Considered algorithm was modified for our structure and structure parameters selection of the control systems.  ... 
doi:10.1007/978-3-319-19369-4_23 fatcat:a2qvw7c7vngu3cnaak6w4ittay

Application of Genetic Algorithm for Solving Multi-Objective Optimization Problems in Robust Control of Distillation Column

S.Amir Ghoreishi, Mohammad Ali Nekoui, Saeed Partovi, S. Omid Basiri
2011 International Journal of Advancements in Computing Technology  
The structure and operators of this algorithm have been specifically developed for control design problems.  ...  The performance of the algorithm is evaluated by solving several test cases and is also compared to the standard algorithms used for the multi-objective design of robust controllers.  ...  Through the years, the desire to design better controllers for complex systems such as distillation column has led to the design and implementation of multi-objective controllers.  ... 
doi:10.4156/ijact.vol3.issue1.4 fatcat:lpxptblfyzczvna43dfnb33ufm

An Innovative Optimization Design Procedure for Mechatronic Systems with a Multi-Criteria Formulation

Cuauhtémoc Morales-Cruz, Marco Ceccarelli, Edgar Alfredo Portilla-Flores
2021 Applied Sciences  
using but not limited to heuristic algorithms.  ...  This approach considers multiple criteria and design variables such as mechanical aspects, control issues, and task-oriented features to formulate a concurrent design optimization problem that is solved  ...  Acknowledgments: The first author acknowledges Consejo Nacional de Ciencia y Tecnología and Instituto Politécnico Nacional for supporting his period of study at LARM2 of Rome Tor Vergata University in  ... 
doi:10.3390/app11198900 fatcat:xtkbj3nwxjcqlmogxq2httwjdq

Diagnosis of Ship Generator Optimized Neural Network Based on Multi-population Chaos Genetic Algorithm

Ming Yang, Wei-feng SHI
2015 International Journal of Hybrid Information Technology  
In view of fault diagnosis of the ship generator , the paper proposes improved fault diagnosis method of ship generator ,which is Optimized Neural Network based on Multipopulation Chaos Genetic Algorithm  ...  The results prove that the method effectively solves low precision,slow constringency and local minimum of neural network and improves global search ability, optimizes the rate and precision of fault diagnosis  ...  By using different controls parameters, it makes multi-population coevolve and takes account of both global search and local search of the algorithm.  ... 
doi:10.14257/ijhit.2015.8.11.37 fatcat:3rb2i36jezhstk4c3rmdd6z6xa

Providing Security in CPSs with Evolutionary Algorithms

Seyed Mahmood Hashemi
2019 Asian Journal of Applied Sciences  
In this research, we present the secure routing problem of CPSs as a multi-objective optimization model and then solve it through three Evolutionary Algorithms (EAs).  ...  Because of the significant role of Cyber-Physical Systems (CPSs) in our lives, the security of these systems is of paramount importance.  ...  These authors established limitations for various aspects of a multi-agent system.  ... 
doi:10.24203/ajas.v7i3.5797 fatcat:c2cste53d5efzl2xtyica5yaom

BSA/WDO based optimization of two-area multi-sources automatic generation control

Sandeep Dwivedi, Srikant Rout, Kuppili Anirudh, Aniruddha Bhattacharya
2017 2017 2nd International Conference for Convergence in Technology (I2CT)  
two-area multi-source power system with physical constraints governor dead band, generation rate constraints, reheat system.  ...  Comparative studies of BSA and WDO with PI/PID controller reveals that WDO based PID controller in both the areas improve the transient performance to a greater extent following small load perturbation  ...  In multi area system which is normally an interconnected system, there AGC is of an important aspect and it is installed on each generator.  ... 
doi:10.1109/i2ct.2017.8226189 fatcat:qe55nensgfcw3fgrptmlyscqme

Agent-Based Models and Platforms for Parallel Evolutionary Algorithms [chapter]

Marek Kisiel-Dorohinicki
2004 Lecture Notes in Computer Science  
The goal of the paper is to provide an overview of classical and agent-based models of parallel evolutionary algorithms.  ...  Agent approach reveals possibilities of unification of various models and thus allows for the development of platforms supporting the implementation of different PEA variants.  ...  Decomposition approaches are characterised by non-global selection/mating and introduce some spatial structure of a population.  ... 
doi:10.1007/978-3-540-24688-6_84 fatcat:bdn6m5akmvglrgsafjr7q55nli

MODEA based on multi-population strategy with adaptive weight and its application to electromagnetic device optimization

Jiaxin You, Fangyuan Xiong, Bo Li, Tengyue Zhang, Huimin Liang
2020 IEEE Access  
This study analyzed the advantages and disadvantages of the existing multi-objective differential evolution (MODE) algorithm, and developed a MODE algorithm based on the adaptive weight and the multi-population  ...  Taking a polarized magnetic relay as an example, MODE/AWMS was used to optimize its key parameters by establishing a rapid calculation model of its electromagnetic mechanism.  ...  weight and a multi-population strategy, which was compared with some other algorithms by using several performance parameters, and was verified by using an instance.  ... 
doi:10.1109/access.2020.2978487 fatcat:vwxo4gcemfg2jpyxvoxepoggaq

Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms [article]

Sayan Saha, Saptarshi Das, Anindya Pakhira, Sumit Mukherjee, Indranil Pan
2013 arXiv   pre-print
Decentralized PID gains are tuned using three popular Evolutionary Algorithms (EAs) viz. Genetic Algorithm (GA), Evolutionary Strategy (ES) and Cultural Algorithm (CA).  ...  The controller design framework takes into account the minimization of a weighted sum of Integral of Time multiplied Squared Error (ITSE) and Integral of Squared Controller Output (ISCO) so as to balance  ...  The optimization based controller parameter selection uses an objective function as a weighted sum of ITSE and ISCO.  ... 
arXiv:1301.0930v1 fatcat:pmdefl3fv5emfofdtsvvyx6aqi

Optimal AGC regulator for multi-area interconnected power systems with parallel AC/DC links

Omveer Singh, Ibraheem Nasiruddin, James Lam
2016 Cogent Engineering  
The problem of simultaneous tuning of the automatic generation control (AGC) regulator's gains of multi-area interconnected power system is carried out in this manuscript.  ...  Genetic algorithm (GA) is used to globally optimize the gains of proportional integral-based AGC regulators with simultaneous optimization of frequency bias coefficient and tie-line power flows.  ...  However, over the last few decades, many critical areas are selected in the operation and control of such huge structured power systems.  ... 
doi:10.1080/23311916.2016.1209272 fatcat:h432xmgihredrpurzpg7wucbtq

Evolutionary Based Controller Design [chapter]

Ivan Sekaj
2009 Evolutionary Computation  
Finally, controller internal structure design and its parameters using genetic programming is proposed in section 5.  ...  Parameters of controllers with fixed defined internal structure are designed as well as controllers with a-priori unknown internal structure and its parameters.  ...  This book also presents new algorithms based on several analogies and metafores, where one of them is based on philosophy, specifically on the philosophy of praxis and dialectics.  ... 
doi:10.5772/9620 fatcat:dtpdmrt7lbgbvfcg2eashflnfa

Results of Evolution Supervised by Genetic Algorithms [article]

Lorentz Jäntschi, Sorana D. Bolboac, Mugur C. Bălan, Radu E. Sestraş
2010 arXiv   pre-print
New obtained original results from the use of genetic algorithms on structure-activity relationships are reported.  ...  A series of results of evolution supervised by genetic algorithms with interest to agricultural and horticultural fields are reviewed.  ...  (Zitzler and Thiele, 1999) , the Pareto optimization (Knowles and Corne, 2002) and multi-agent systems (Panait and Luke, 2006) .  ... 
arXiv:1009.0915v1 fatcat:wb4kms57gfdrxok6eodzd6mr2m

Test Case Generation Process using Soft Computing Techniques

For increase the level of automation and performance, these aspects of test case development need to be studied.  ...  It is unidealistic to check only the discerning parts of the material as a whole at once. It is not possible to test the whole system once, so selected parts of the code are considered for analysis.  ...  Sequences of control flow are known as test cases and then optimized using evolutionary algorithms such as the Genetic Algorithm.  ... 
doi:10.35940/ijitee.a4302.119119 fatcat:v4bgojmlljbgtleatwa5pp5hhm

Results of Evolution Supervised by Genetic Algorithms

Lorentz JÄNTSCHI, Sorana D. BOLBOACĂ, Mugur C. BĂLAN, Radu E. SESTRAS, Mircea V. DIUDEA
2010 Notulae Scientia Biologicae  
Evolution using different selection and survival strategies proved to create populations of genotypes living in the evolution space with different diversity and variability.  ...  using a genetic algorithms on structure-activity relationships in terms of behavior of evolution supervised by genetic algorithms.  ...  (Zitzler and Thiele, 1999) , the Pareto optimization (Knowles and Corne, 2002) and multi-agent systems (Panait and Luke, 2006) .  ... 
doi:10.15835/nsb234873 fatcat:dl2ynd6s5zfv3kl6y34i7l5mdi

An Improved Immune Clone Selection Algorithm for Parameters Optimization of Marine Electric Power System Stabilizer

Zong Bi, Weifeng Shi, Tiewei Song
2022 Energy Engineering  
and fast convergence rates to achieve the optimal parameters of the power system stabilizers.  ...  In this paper, a newly developed immune clone selection algorithm was improved from the three aspects of the adaptive incentive degree, vaccination, and adaptive mutation strategies.  ...  Use of an improved immune clone selection algorithm to coordinate the power system stabilizers. 2.  ... 
doi:10.32604/ee.2022.019627 fatcat:mppkj4qzjrd3nfwrn2k4lwwzfm
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