نتایج جستجو برای: shuffled frogleaping algorithm sfla

تعداد نتایج: 754615  

Journal: :DEStech Transactions on Computer Science and Engineering 2017

Journal: :Journal of bacteriology 2013
Maya Kitaoka Takehiko Nishigaki Kunio Ihara Noriko Nishioka Seiji Kojima Michio Homma

The marine bacterium Vibrio alginolyticus has a single polar flagellum. Formation of that flagellum is regulated positively and negatively by FlhF and by FlhG, respectively. The ΔflhF mutant makes no flagellum, whereas the ΔflhFG double-deletion mutant usually lacks a flagellum. However, the ΔflhFG mutant occasionally reverts to become motile by forming peritrichous flagella. We have isolated a...

Sahifeh Poor Ramezani Kalashami Seyyed Javad Seyyed Mahdavi Chabok

Clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. K-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. In recent years, several algorithms are provided based on evolutionary algorithms for cluster...

2013
Deyu TANG Yongming CAI Xianfa CAI

Quantum-behaved particle swarm optimization (QPSO) algorithm is a global convergence guaranteed algorithms, which has been applied widely for continuous optimization problems. In this paper, we propose an improved quantum-behaved particle swarm optimization with memory according to the means of best position of particles and using sigal step seaching strategy for sovle the multidimentional prob...

2015
Xin Li Xu Huangfu Xuezhong Guan Yu Tong

--------------------------------------------------------ABSTRACT----------------------------------------------------------To enhance the optimization ability of classical shuffled frog leaping algorithm, a quantum inspired shuffled frog leaping algorithm with adaptive grouping is proposed. In this work, the frog swarms are adaptive grouped according to the average value of the objective functio...

Journal: :International Journal of Grid and Distributed Computing 2016

Journal: :journal of advances in computer engineering and technology 2015
masoud geravanchizadeh sina ghalami osgouei

in this paper, we propose a novel algorithm to enhance the noisy speech in the framework of dual-channel speech enhancement. the new method is a hybrid optimization algorithm, which employs the  combination of  the  conventional θ-pso and the shuffled sub-swarms particle optimization (sspso) technique. it is known that the θ-pso algorithm has better optimization performance than standard pso al...

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