نتایج جستجو برای: الگوریتم apso

تعداد نتایج: 22520  

2012
Maya Nayak Satyabrata Dash

This paper presents a new approach for power signal time series data mining using S-transform based K-means clustering technique. Initially the power signal time series disturbance data are pre-processed through an advanced signal processing tool such as S-transform and various statistical features are extracted, which are used as inputs to the K-means algorithm for disturbance event detection....

Journal: :Distributed generation & alternative energy journal 2023

A Multi Objective based Fitness Function (MOFF) is proposed for the optimum planning of multiple Solar Distributed Generation (SDG) and DSTATCOM with radial distribution network (RDN) reconfiguration impact techno-economic environmental benefit improvement. The Adaptive-Particle Swarm Optimization (APSO) Teaching-Learning Based techniques (TLBO) are employed to accomplish this work. In MOFF, Ac...

محمد حقیقی, پریسا صادقپور

غربال مولکولی نانوساختار SAPO-34 ، بهترین عملکرد را در تولید الفین های‌ سبک به خود اختصاص داده است. همچنین به دلیل اهمیت فرایندMTO پژوهش‌ های گوناگونی برای بهبود ویژگی‌ های کاتالیست SAPO-34 انجام گرفته است.از این رو مطالعه و بررسی سنتز این کاتالیست در کنترل ساختار و بهبود ویژگی‌ های آن مؤثر می‌ باشد. استفاده از...

Journal: :Blood 1996
A E Mauser J Whitlark K M Whitney C D Lothrop

Hemophilia B is a bleeding disorder caused by a deficiency of clotting factor IX (FIX). A colony of FIX deficient Lhasa Apso dogs has been established and the molecular basis of hemophilia B has been determined. The plasma factor IX levels were < 1% of normal canine levels in affected dogs. A complex deletion mutation at nucleotides 772-777 was found when hepatocyte cDNA from a hemophilia B dog...

2012
Ching-Lieh Li Chung-Hsin Huang Chien-Ching Chiu Chi-Hsien Sun

─ The application of optimization techniques for shape reconstruction of a perfectly conducting two-dimensional cylinder buried in a slab medium is reported in this paper, for which comparative study of four population-based optimization algorithms are conducted. The method of finite difference time domain (FDTD) is employed for the analysis of the forward scattering part, while the inverse sca...

2016
Sumit Kumar D K Yadav D A Khan

One of the most important and effort intensive activity of the entire software development process is software testing. The effort involved chiefly increases because of the need to obtain optimal test data out of the entire search space of the problem under testing. Software test data generation is one area that has seen tremendous research in terms of automation and optimization. Generating or...

Journal: :Appl. Soft Comput. 2011
Taher Niknam Hasan Doagou Mojarrad Hamed Zeinoddini Meymand

Economic dispatch (ED) problem is a nonlinear and non-smooth optimization problem when valvepoint effects, multi-fuel effects and prohibited operating zones (POZs) have been considered. This paper presents an efficient evolutionary method for a constrained ED problem using the new adaptive particle swarm optimization (NAPSO) algorithm. The original PSO has difficulties in premature convergence,...

2016
Ruofa Cheng Wenlong Zhao Hongfeng Deng Xiaozhou Jiang

The brushless excitation system of aircraft AC generator is a strong coupled and nonlinearity dynamic system which is often being subjected to disturbances. Therefore, the conventional PID controller is unable to meet the brushless excitation system control requirements of More Electric Aircraft (MEA) or All Electric Aircraft (AEA). A new brushless excitation compound control controller (RBFPID...

Journal: :Measurement & Control 2023

Design of centralised disturbance rejection controllers for an highly interacting MIMO quadruple tank process is tedious. Recently, Fractional Order LQI (FOLQI) controller designed such system to meet the desired specifications with better performance than various that are available in literature. In this paper, optimisation problem formulated obtain optimal parameters FOLQI providing minimum c...

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