نتایج جستجو برای: biographic based optimization algorithm

تعداد نتایج: 3489544  

H. Rahami, M. Mousavi, P. Mohebian,

The present study is concerned with the simultaneous optimization of the size of components and the arrangement of connections for performance-based seismic design of low-rise SPSWs. Design variables include the size of beams and columns, the thickness of the infill panels, the type of each beam-to-column connection and the type of each infill-to-boundary frame connection. The objective functio...

2013
Ali R. Alroomi Fadhel A. Albasri Jawad H. Talaq

Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and is based on an old theory of island biogeography that explains the geographical distribution of biological organisms. BBO was introduced in 2008 and then a lot of modifications and hybridizations were employed to enhance its performance. The researchers found that the original version of BBO has some weak...

Journal: :مهندسی صنایع 0
عاطفه کهفی اردکانی کارشناسی ارشد مهندسی صنایع- دانشکده فنی و مهندسی- دانشگاه پیام¬نور تهران فرناز برزین پور استادیار دانشکده مهندسی صنایع- دانشگاه علم و صنعت ایران رضا توکلی¬مقدم استاد گروه مهندسی صنایع- دانشکده فنی و مهندسی- دانشگاه تهران

cellular manufacturing system is one of the most important applications of group technology. design of this system involves many structural and operational issues, in which the cell formation and production planning are two important steps. in this paper, a new mathematical model is proposed for integration of cell formation and production planning problems with the aim of minimizing the overal...

Journal: :تحقیقات مالی 0
مهسا رجبی دانشجوی دکتری برق ـ کنترل و سیستم، دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران حمید خالوزاده استاد دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران

despite the growing use of evolutionary multi-objective optimization algorithms in different categories of science, these algorithms as a powerful tool in portfolio optimization and specially solving multi-objective portfolio optimization problem is still in its early stages. in this paper, moeas have been used for solving multi-objective portfolio optimization problem in tehran stock market. f...

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2007
hossein abedini mahmoud reza pishvaie ramin bozorgmehry boozarjomehry

for large and complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization and model-based control. mechanism simplification is often a necessity to improve computational speed. we present a novel approach to simplification of reaction networks that formulates the model reduction problem as an optimization problem and solves it using genetic al...

Journal: :journal of operation and automation in power engineering 2014
r. baghipour s.m. hosseini

in practical situations, distribution network loads are the mixtures of residential, industrial, and commercial types. this paper presents a hybrid optimization algorithm for the optimal placement of shunt capacitor banks in radial distribution networks in the presence of different voltage-dependent load models. the algorithm is based on the combination of genetic algorithm (ga) and binary part...

2016
George M. Gould

are ours), which is scientifically more important, and which should be the splendid function of the family physician, is ignored. Dr. Gould contributes but little towards the attainment of this lofty aim. He plunges at once into a " medical description of past lives," choosing for his examples De Quincey, Carlyle, Darwin, Huxley and Browning. At first sight the choice seems to be an unfortunate...

Imperialist Competitive Algorithm (ICA) is considered as a prime meta-heuristic algorithm to find the general optimal solution in optimization problems. This paper presents a use of ICA for automatic clustering of huge unlabeled data sets. By using proper structure for each of the chromosomes and the ICA, at run time, the suggested method (ACICA) finds the optimum number of clusters while optim...

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