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Auto Adaptive Differential Evolution Algorithm
2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), 2019Differential Evolution algorithm has proved to be effective and best method for solving various optimization challenges. It has been proved to be rather cumbersome to manually set control parameters in DE. This paper sketch a new variant of the DE algorithm that provides an environment to auto-adjust the control parameters settings. For the past years,
Vivek Sharma +2 more
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Parameter Selection of Differential Evolution by another Differential Evolution Algorithm
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019The performance of differential evolution (DE) highly depends on its control parameters, especially for the first proposed simple or standard DE. Control parameters suitable for one objective function are generally not beneficial to another. To automatically find out optimal control parameter settings for different objective functions, we propose a ...
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Differential Evolution Algorithm for Dynamic Structural Identification
Journal of Earthquake Engineering, 2008In the present article, differential evolution algorithm is used to perform structural identification of mass and stiffness properties of civil structures from dynamic test results. Identification is performed initially starting from exact values of modal parameters (frequencies and mode shapes).
SAVOIA, MARCO, VINCENZI, LORIS
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Data Classification Algorithm Based on Differential Evolution Algorithm
International Journal of Digital Content Technology and its Applications, 2013K-Nearest Neighbor (KNN) is one of the most popular algorithms for data classification. Many researchers have found that the KNN algorithm accomplishes very good performance in their experiments on different datasets. The traditional KNN text classification algorithm has limitations: calculation complexity, the performance is solely dependent on the ...
Xuesong Yan - +3 more
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Differential evolution versus genetic algorithms
Proceedings of the 16th International Database Engineering & Applications Sysmposium on - IDEAS '12, 2012The differential evolution (DE) is a very powerful search method for solving many optimization problems. In this paper we present a new scheme (DESAX) based on the differential evolution to localize the breakpoints utilized with the symbolic aggregate approximation method; one of the most important symbolic representation techniques for times series ...
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Effective competency based differential evolution algorithm
Journal of Statistics and Management Systems, 2019AbstractThe DE algorithm is considered as an efficient algorithm in the field of evolutionary algorithms.
Prashant Sharma +2 more
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Constrained evolution algorithm based on adaptive differential evolution
International Journal of High Performance Computing and Networking, 2018Solving constrained optimisation is widely used in science and engineering, but the slow convergence speed and premature are the biggest problems researchers face. Research on a constrained evolution algorithm (CO-JADE) based on adaptive differential evolution (JADE) for solving the constrained optimisation problems is proposed in this paper. According
Kangshun Li +3 more
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A hybrid simplex differential evolution algorithm
2010 Chinese Control and Decision Conference, 2010According to the disadvantage of slow convergence rate of the basic differential evolution (DE) algorithm, a hybrid optimization algorithm incorporated Nelder & Mead (NM) simplex method into the basic DE algorithm is presented in this paper. This hybrid procedure performed the exploration with DE and the exploitation with the NM simplex method ...
Lianghong Wu +3 more
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Taguchi-enhanced binary differential evolution algorithm
2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2017This paper proposed an improved binary differential evolution (BDE) algorithm based on a Taguchi approach (Taguchi-BDE) for optimization problems. An estimation operator with efficient probability was adopted to preserve the diversity of populations and enhance the global search ability in Taguchi-BDE, and the Taguchi approach was used to optimize ...
Cheng-Hong Yang +2 more
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Differential evolution algorithms using hybrid mutation
Computational Optimization and Applications, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kaelo, P., Ali, M. M.
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