Rose pattern for heliostat field optimization with a dynamic speciation‐based mutation differential evolution
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Energy Research"
DOI: 10.1002/er.5048
Abstract: Concentrated solar power technology is one of the most promising technologies in energy field. Arguably, the heliostat field layout is a crucial component in solar power tower system. Numerous studies have been developed for heliostat… read more here.
Keywords: field optimization; heliostat field; field; differential evolution ... See more keywords
A hybrid memory-based dragonfly algorithm with differential evolution for engineering application
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DOI: 10.1007/s00366-020-00958-4
Abstract: The dragonfly algorithm (DA) is a swarm-based stochastic algorithm which possesses static and dynamic behavior of swarm and is gaining meaningful popularity due to its low computational cost and fast convergence in solving complex optimization… read more here.
Keywords: engineering; algorithm differential; differential evolution; dragonfly algorithm ... See more keywords
Novel discrete differential evolution methods for virtual tree pruning optimization
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DOI: 10.1007/s00500-015-1827-x
Abstract: In this paper, we introduce two novel discrete differential evolution (DDE) methods for the optimization of simulated tree pruning within a software support tool for demonstration of tree training techniques. Therein, the pruning is posed… read more here.
Keywords: tree pruning; virtual tree; optimization; novel discrete ... See more keywords
A novel mutation operator based on the union of fitness and design spaces information for Differential Evolution
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DOI: 10.1007/s00500-016-2359-8
Abstract: Differential Evolution (DE) is one of the most successful and powerful evolutionary algorithms for global optimization problem. The most important operator in this algorithm is mutation operator, in which parents are selected randomly to participate… read more here.
Keywords: fitness; operator; differential evolution; mutation ... See more keywords
Adaptive neural model optimized by modified differential evolution for identifying 5-DOF robot manipulator dynamic system
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DOI: 10.1007/s00500-016-2401-x
Abstract: This paper proposes an adaptive neural network (ANN) model for modeling the nonlinear dynamic of a robot manipulator based on experimental input–output data from the system. The ANN model is created by combining the multilayer… read more here.
Keywords: robot manipulator; model; differential evolution;
Enhancing differential evolution with interactive information
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DOI: 10.1007/s00500-017-2740-2
Abstract: Differential evolution (DE) is well known for its simple structure and excellent performance among various evolutionary algorithms. Difference vectors have a dominant effect on the evolution progress. But the difference vectors in mutation operators for… read more here.
Keywords: information; interactive information; directional information; enhancing differential ... See more keywords
Evolving nearest neighbor time series forecasters
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DOI: 10.1007/s00500-017-2822-1
Abstract: This article proposes a nearest neighbors—differential evolution (NNDE) short-term forecasting technique. The values for the parameters time delay $$\tau $$τ, embedding dimension m, and neighborhood size $$\epsilon $$ϵ, for nearest neighbors forecasting, are optimized using… read more here.
Keywords: time series; nearest neighbors; time; differential evolution ... See more keywords
Modified clustering-based differential evolution with a flexible combination of exploration and exploitation
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DOI: 10.1007/s00500-017-2950-7
Abstract: Differential evolution (DE) has been extensively used in optimization problem. However, original DE has some shortcomings. Up to now, there have been a lot of its variations. In this paper, a modified version of differential… read more here.
Keywords: evolution; clustering based; based differential; modified clustering ... See more keywords
An improved differential evolution with cluster decomposition algorithm for automatic clustering
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DOI: 10.1007/s00500-018-3496-z
Abstract: This study proposes an improved differential evolution (DE) algorithm to solve an automatic clustering problem. Automatic clustering is a clustering technique in data mining which can automatically define the best number of clusters, as well… read more here.
Keywords: automatic clustering; algorithm automatic; improved differential; differential evolution ... See more keywords
Differential evolution for feature selection: a fuzzy wrapper–filter approach
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DOI: 10.1007/s00500-018-3545-7
Abstract: The selection of an optimal feature subset from all available features in the data is a vital task of data pre-processing used for several purposes such as the dimensionality reduction, the computational complexity reduction required… read more here.
Keywords: feature selection; feature; approach; differential evolution ... See more keywords
Enhancing differential evolution algorithm with repulsive behavior
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DOI: 10.1007/s00500-019-04454-w
Abstract: In the real world, differential evolution (DE) algorithm can effectively solve optimization problems in engineering; thus, DE has been applied in various fields. However, in complex multimodal problems, DE may encounter stagnation during iterations. Thus,… read more here.
Keywords: algorithm repulsive; evolution algorithm; repulsive behavior; rbde ... See more keywords