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Empirical Comparison of Differential Evolution Variants for Industrial Controller Design

Tony Wong, Pascal Bigras, Vincent Duchaîne, Jean-Philippe Roberge
2016 International Journal of Computational Intelligence Systems  
This paper proposes a method of solving the design problem using bilinear matrix inequality formulation, and the use of Differential Evolution (DE) algorithms to solve the resulting optimization problem  ...  The performance of the proposed method is demonstrated by comparing a set of ten DE variants.  ...  The differential evolution (DE) algorithm is a well-known population-based evolutionary optimizer designed for real-valued optimization purposes.  ... 
doi:10.1080/18756891.2016.1237193 fatcat:y2jdasu3n5fwlnqa2yll45mzom

Optimization of Turbo Codes by Differential Evolution and Genetic Algorithms

Pavel Kromer, Václav Snasel, Jan Platos, Ajith Abraham
2009 2009 Ninth International Conference on Hybrid Intelligent Systems  
To obtain good performance, it is necessary to design a robust turbo code interleaver. This paper proposes a a differential evolution approach to find above average turbo code interleavers.  ...  Performance is compared with the conventional genetic algorithm approach and the empirical results illustrate that DE performs well.  ...  Differential evolution provided better average free distance for 64 and 128-bit interleavers. For 256-bit interleaver GA delivered the best empirical performance.  ... 
doi:10.1109/his.2009.289 dblp:conf/his/KromerSPA09 fatcat:rzyzmsfefrf4jegeyi2n6zvxna

Multi-objective minimum entropy controller design for stochastic processes

P Afshar, A Nobakhti, Hong Wang, Tianyou Chai
2010 Proceedings of the 2010 American Control Conference  
Minimum variance control is an established method in control of systems corrupted by noise.  ...  In these cases, the Entropy is proposed as a generalisation of the variance measure and the control objective becomes that of minimising the Entropy.  ...  Comparison with previous results Two previous controller design for this heat exchanger have been presented in [5] and [15] .  ... 
doi:10.1109/acc.2010.5530823 fatcat:u4224gkukzea5mane3ghb66rtu

Differential Evolution Algorithms Comparison Used to Tune a Visual Control Law

Pablo Sanchez-Sanchez, Jose Guillermo Cebada-Reyes, Agustin Ruiz-Garcia, Aidee Montiel-Martinez, Fernando Reyes-Cortes
2022 IEEE Access  
This paper presents the results of the comparative study of differential evolution algorithms used as an alternative for tuning the gains of a PD+ type visual control structure, since tuning PD or PID  ...  INDEX TERMS Differential evolution algorithms, PD+ type control structure, performance index, tuning control structures, centroid, visual-servoing, plant tissue analysis, leaves cutting.  ...  the main characteristics of the differential evolution algorithms, which allows us to make the comparison of the algorithms.  ... 
doi:10.1109/access.2022.3168965 fatcat:cltqjyhynzc57hjzxbe73dgqhq

International Conference on Smart Computing and Communication (SmartTech-2017)

Deepshikha Bhargava, Ramesh C Poonia, Swapnesh Taterh
2018 Journal of Biology and Today s World  
We have found different image processing approaches for identification of foreign element and made comparisons of them.  ...  Object oriented approach is used in the simulation designing of new protocol and B92 protocol.  ...  Title: Cross-Opposition Based Differential Evolution Keywords: Differential Evolution (DE); Cross-Opposition Based Differential Evolution (CODE); Optimization; Opposition Base Differential Evolution  ... 
doi:10.15412/j.jbtw.01070107 fatcat:kxwja67k3zaolpfhr7izgincaq

An adaptive differential evolution algorithm

Nasimul Noman, Danushka Bollegala, Hitoshi Iba
2011 2011 IEEE Congress of Evolutionary Computation (CEC)  
The performance of Differential Evolution (DE) algorithm is significantly affected by its parameter setting. But the choice of parameters is heavily dependent on the problem characteristics.  ...  We systematically analyze the effectiveness of the proposed adaptation scheme for DE parameters using a standard benchmark suite consisting of ten functions.  ...  This work proposes a new adaptation mechanism for and parameters of differential evolution (DE) algorithm.  ... 
doi:10.1109/cec.2011.5949891 dblp:conf/cec/NomanBI11 fatcat:hr5o57tgvnal7iy3z7wbapmzaa

Freeze-drying modeling and monitoring using a new neuro-evolutive technique

Elena-Niculina Dragoi, Silvia Curteanu, Davide Fissore
2012 Chemical Engineering Science  
Abstract This paper is focused on the design of a black-box model for the process of freeze-drying of pharmaceuticals.  ...  A new methodology based on a self-adaptive differential evolution scheme is combined with a back-propagation algorithm, as local search method, for the simultaneous structural and parametric optimization  ...  Valuable suggestions of prof. A. Barresi (Politecnico di Torino) are gratefully acknowledged.  ... 
doi:10.1016/j.ces.2012.01.021 fatcat:l4hrc457tbcuvm7n2ze4i2kufi

Introduction to Case Studies [chapter]

Safa Bougouffa, Kiana Busch, Robert Heinrich, Christopher Haubeck, Suhyun Cha, Ralf Reussner, Birgit Vogel-Heuser
2019 Managed Software Evolution  
Empirical research in terms of case studies and controlled experiments is useful to validate these methods. However, empirical studies on software evolution are rarely comprehensive.  ...  The evolution scenario Platform Migration transfers the initial variant of CoCoME to the hybrid cloud-based variant.  ...  18 Prevention of human hazard situations at the conveyor system Implement light grid and emergency stop switching module 19 Additional operating mode (manual)  ... 
doi:10.1007/978-3-030-13499-0_4 fatcat:z65ysmwafraczmdr4bpe7xquqi

Near net shape manufacturing of metal: A review of approaches and their evolutions

Daniele Marini, David Cunningham, Jonathan R Corney
2017 Proceedings of the Institution of mechanical engineers. Part B, journal of engineering manufacture  
This has resulted in the emergence of several different "Design for Manufacturing" methodologies which have in common the aim of reducing productions costs through the application of general manufacturing  ...  In the last thirty years the concept of manufacturability has been applied to many different processes in numerous industries.  ...  Kudo [32] surveys and summarizes previous industrial approaches and frameworks for quality control, comparing them with NNS approach.  ... 
doi:10.1177/0954405417708220 fatcat:eokwasb7xjggvkdntsmea3y5f4

Darwin and Fisher meet at biotech: on the potential of computational molecular evolution in industry

Maria Anisimova
2015 BMC Evolutionary Biology  
Specifically, Darwin's theory of evolution by means of natural selection not only remains relevant today, but also provides a solid basis for computational research with a variety of applications.  ...  The grounds for this progress were established long before the discovery of the DNA structure.  ...  The first version of this article forms part of the Festschrift collection for the GNOME 2014 symposium to celebrate the retirement of Prof.  ... 
doi:10.1186/s12862-015-0352-y pmid:25928234 pmcid:PMC4422139 fatcat:b3hgofdtojbbnhxfdytx2uqene

Modeling variability in the video domain: language and experience report

Mauricio Alférez, Mathieu Acher, José A. Galindo, Benoit Baudry, David Benavides
2018 Software quality journal  
range of video variants.  ...  variants.  ...  Acknowledgements This work was financed by the project MOTIV of the Direction Générale de l'Armement (DGA) -Ministère de la Défense, France. We thank all participants of the project.  ... 
doi:10.1007/s11219-017-9400-8 fatcat:xyy3qsij4ng43fr4xjvjn53m7y

The use of differential evolution algorithm for solving chemical engineering problems

Elena Niculina Dragoi, Silvia Curteanu
2016 Reviews in chemical engineering  
From the optimization point of view, DE seems to be an attractive approach for many researchers who are trying to improve existing systems or to design new ones.  ...  AbstractDifferential evolution (DE), belonging to the evolutionary algorithm class, is a simple and powerful optimizer with great potential for solving different types of synthetic and real-life problems  ...  Curteanu: Differential evolution in chemical engineering 165 E.N. Dragoi and S. Curteanu: Differential evolution in chemical engineering 167  ... 
doi:10.1515/revce-2015-0042 fatcat:6ljdjoiozbddxcmklcom2irlxq

HARD-DE: Hierarchical ARchive Based Mutation Strategy With Depth Information of Evolution for the Enhancement of Differential Evolution on Numerical Optimization

Zhenyu Meng, Jeng-Shyang Pan
2019 IEEE Access  
Differential evolution is a famous and effective branch of evolutionary computation, which aims at tackling complex optimization problems.  ...  There are two aspects significantly affecting the overall performance of DE variants, one is trial vector generation strategy and the other is the control parameter adaptation scheme.  ...  As it is known to all that besides the mutation strategy, a well-designed adaptation scheme for control parameters can also improve the optimization performance of DE variants.  ... 
doi:10.1109/access.2019.2893292 fatcat:seao3uv7v5drtfxpx2kcspuyxq

System identification and control of robot manipulator based on fuzzy adaptive differential evolution algorithm

Rawaa Dawoud Al-Dabbagh, Azeddien Kinsheel, Saad Mekhilef, Mohd Sapiyan Baba, Shahaboddin Shamshirband
2014 Advances in Engineering Software  
Differential Evolution (DE) algorithm is a very powerful optimization technique and has become popular in many fields.  ...  Arguably, it is now one of the most predominant stochastic algorithms for real-parameter optimization.  ...  Acknowledgments The authors would like to thank University of Malaya for providing financial support under the UMRG Research Grants Project No. RP006E-13ICT.  ... 
doi:10.1016/j.advengsoft.2014.08.009 fatcat:l3ugu2xuxjcsjhsm7lmdpde7ju

Differential evolution and simulated annealing algorithms for mechanical systems design

H. Saruhan
2014 Engineering Science and Technology, an International Journal  
In this study, nature inspired algorithms e the Differential Evolution (DE) and the Simulated Annealing (SA) e are utilized to seek a global optimum solution for ball bearings link system assembly weight  ...  The Genetic Algorithm (GA) and the Evolution Strategy (ES) will be a reference for the examination and validation of the DE and the SA.  ...  Thus, the algorithms are performed for complete search to get the best possible solution of the design. See Fig. 3 . So, the comparison mainly focuses on the empirical solution.  ... 
doi:10.1016/j.jestch.2014.04.006 fatcat:ktioqqgsqzbf5iq6amychxvpxi
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