O’zbekiston respublikasi oliy va o’rta maxsus ta’lim vazirligi mirzo ulug’bek nomidagi

I BOB. FARMATSEVTIKA MAHSULOTLARINI ISHLAB CHIQARISH VA SOTISHNI OPTIMAL REJALASHTIRISH MODELINI ISHLAB CHIQISHNING NAZARIY ASOSLARI.

1.1. Farmatsevtika mahsulotlarini ishlab chiqarish xususiyatlarini tahlil qilish

1.2. Rejalashtirishda qo'llaniladigan mavjud optimallashtirish usullarini tahlil qilish

1.3. Farmatsevtika korxonalarida qo'llanilishi mumkin bo'lgan ishlab chiqarish va sotishnni rejalashtirish modellarini tahlil qilish

Birinchi bob bo’yicha xulosa

II BOB. FARMATSEVTIKA MAHSULOTLARINI ISHLAB CHIQARISH VA SOTISHNI OPTIMAL REJALASHTIRISH USULLARI VA MODELLARINI ISHLAB CHIQISH

2.1. Talabning vaqtga bog'liqligini topish usulini ishlab chiqish

2.2. Noravshan dasturlash asosida farmatsevtika mahsulotlarini ishlab chiqarish va sotishni optimal rejalashtirish modelini yaratish.

2.3. Savdoni rejalashtirish uchun yevristik algoritmni ishlab chiqish

Ikkinchi bob bo’yicha xulosa

III BOB. FARMATSEVTIKA MAHSULOTLARINI ISHLAB CHIQARISH VA SOTISHNI OPTIMAL REJALASHTIRISH UCHUN DASTURIY VOSITALARNI ISHLAB CHIQISH VA SINOVDAN O'TKAZISH

3.1. Dasturiy vositalar interfeysini ishlab chiqish masalalari

3.2. Model va usullarning ishlashi uchun algoritmlar

3.3. Dissertatsiya tadqiqoti natijalarini aprobatsiya qilish

Uchinchi bob bo’yicha xulosa

Xulosa

ADABIYOTLAR RO'YXATI

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18. K. D. Koper, M. E. WY session, D. A. Wiens, Multimodal function optimization with a niching genetic algorithm: A seismological example, Bulletin of the Seismological Society of America 89 (4) (1999) pp.978–988.
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21. Бычков Е.Д. Приложение теории нечетких (Fuzzy) множеств в математических моделях систем связи. Исследования и материалы: Приложение к журналу «Омский научный вестник» // Бычков Е.Д., Салахутдинов Р.З., Лендикрей В.В. – Омск: ОГМА, 2000. – 188 с.
22. Кузнецов В.Ю. Методы покрытия многосвязных ортогональных многоугольников для задач оптимального размещения сенсоров в области мониторинга: диссертация канд. тех. наук. Уфим. гос. авиац.-тех. университет, Уфа, 2009.

Internet resurslari

1. 
   Scikit-lear user guide: Release 0.21.3//2019 http://technomag.edu.ru/doc/116072.html
   
2. 
   http://www.moluch.ru/. [e-mail]
   
3. 
   Numpy docs.numpy.com
   
4. 
   Seaborn docs.seaborn.com
   
5. 
   PyQt docs.pyqt.com