نتایج جستجو برای: dominated sorting technique

تعداد نتایج: 696205  

In the facility location problem usually reducing total transferring cost and time are common objectives. Designing of a network with hub facilities can improve network efficiency. In this study a new model is presented for P-hub covering location problem. In the p-hub covering problem it is attempted to locate hubs and allocate customers to established hubs while allocated nodes to hubs are in...

2014
Harish Rohil

In many real applications, sorting plays an important role as it makes easy to handle the data by arranging it in ascending or descending order, according to requirements. Bubble sort is most common sorting algorithm, but not efficient for many applications. There are number of other sorting algorithms and still, research is going for new sorting algorithms to improve the complexities of existi...

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: :international journal of automotive engineering 0
h. shojaeefard m. etghani tahani akbari

in this study the performance and emissions characteristics of a heavy-duty, direct injection, compression ignition (ci) engine which is specialized in agriculture, have been investigated experimentally. for this aim, the influence of injection timing, load, engine speed on power, brake specific fuel consumption (bsfc), peak pressure (pp), nitrogen oxides (nox), carbon dioxide (co2), carbon mon...

Journal: :journal of agricultural science and technology 2015
o. adekanmbi o. olugbara

this paper presents a model for constrained multiobjective optimization of mixed-cropping planning. the decision challenges that are normally faced by farmers include what to plant, when to plant, where to plant and how much to plant in order to yield maximum output. consequently, the central objective of this work is to concurrently maximize net profit, maximize crop production and minimize pl...

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