ÌÀÐÕÈ
ËÈ×ÍÛÉ ÊÀÁÈÍÅÒ ÑÒÓÄÅÍÒÀ
ÇÎËÎÒÀß ÌÅÄÀËÜ ÌÀÐÕÈ 2023
ÏÐÎÅÊÒÍÛÅ ÃÐÓÏÏÛ III ÊÓÐÑÀ 2023/2024 ó÷. ã.
ÊÎÍÔÅÐÅÍÖÈÈ 2023-2024
ÂÛÁÎÐÛ ÄÅÊÀÍÀ. ÊÎÍÊÓÐÑ ÏÏÑ.
ÄÅÑßÒÈËÅÒÈÅ ÍÀÓÊÈ È ÒÅÕÍÎËÎÃÈÉ
2024 - ÃÎÄ ÑÅÌÜÈ
Ïîäãîòîâêà ê ïîñòóïëåíèþ íà ñïåöèàëüíîñòü ÄÀÑ â 2024 ãîäó
ÂÌÅÑÒÅ ÏÐÎÒÈÂ ÊÎÐÐÓÏÖÈÈ
ÔÀÊÓËÜÒÅÒ ÏÎÂÛØÅÍÈß ÊÂÀËÈÔÈÊÀÖÈÈ
ÑÒÀƨРÌèíîáðíàóêè Ðîññèè
ÓÍÈÂÅÐÑÈÒÅÒÑÊÈÅ ÑÓÁÁÎÒÛ
Âñåìèðíûé ôåñòèâàëü ìîëîä¸æè 2024
ÍÀÖÈÎÍÀËÜÍÛÉ ÏÐÎÅÊÒ "Íàóêà è Óíèâåðñèòåòû"
ÇÀÙÈÒÀ ÏÐÀÂ ÍÅÑÎÂÅÐØÅÍÍÎËÅÒÍÈÕ Â ÑÅÒÈ ÈÍÒÅÐÍÅÒ


English version Russian version



INTERNATIONAL SCIENTIFIC AND EDUCATIONAL ONLINE JOURNAL 
ARCHITECTURE AND MODERN INFORMATION TECHNOLOGIES

4(41) 2017


Article HEURISTIC INFORMATION AND METHODS OF OBTAINING AND IMPROVING SPACE-PLANNING DECISIONS OF BUILDINGS AND CONSTRUCTIONS
Authors V.G. Kulikov, Moscow State University of Civil Engineering, Moscow, Russia
AbstractThe work is devoted to adaptive intelligent methods of obtaining and improving the designs of buildings and constructions in general, and their individual blocks and components through the development of decision algorithms layout schemes, using formal and informal logic, and artificial intelligence methods. Applied computational experiments for optimization of the obtained designs
Keywords: decision maker (DM); artificial intelligence; space arrangement; the count typical floor; layout optimization solution; basic solution; iteration; incidence; finite state machine
article Article (RUS)
References

  1. Alyautdinov M.A., Galushkin A.I., Kazantsev P.A., Ostapenko G.P. Nejrokomp'jutery. Ot programmnoj k apparatnoj realizacii [Neurocomputers. From software to hardware implementation]. Moscow, 2016, 152 p.
  2. Andreychikov A.V., Andreychikova O.N. Sistemnyj analiz i sintez strategicheskih reshenij v innovatike. Matematicheskie, jevristicheskie i intellektual'nye metody sistemnogo analiza i sinteza innovacij: uchebnoe posobie [System analysis and synthesis of strategic decisions in innovation. Mathematical, heuristic and intellectual methods of system analysis and synthesis of innovations. Tutorial]. Moscow, 2015, 306 p.
  3. Bellman R., Dreyfus S. Prikladnye zadachi dinamicheskogo programmirovanija [Applied dynamic programming problem]. Moscow, 2016, 458 p.
  4. Bishop Owen Nastol'naja kniga razrabotchika robotov (+ CD-ROM) [Handbook of robot developers (+ CD-ROM)]. Moscow, 2015, 400 p.
  5. Bratko I. Algoritmy iskusstvennogo intellekta na jazyke PROLOG [The artificial intelligence Algorithms in the language PROLOG]. Moscow, 2016, 640 p.
  6. Vorotnikov S. A. Informacionnye ustrojstva robototehnicheskih sistem: monogr [Information devices of robotic systems: monograph]. Moscow, 2011, 384 p.
  7. Gelovani V.A., Bashlykov A.A., Britkov V.B., Vasilev E.D. Intellektual'nye sistemy podderzhki prinjatija reshenij v neshtatnyh situacijah s ispol'zovaniem informacii o sostojanii prirodnoj sredy [Intellectual systems of support of decision-making in emergency situations using information about the state of the environment]. Moscow, 2015, 304 p.
  8. Smooth C.L., Stepanov N.A., Yasnitsky L.N. Intellektual'noe modelirovanie fizicheskih problem [Intelligent modeling of physical problems]. Moscow, 2011, 200 p.
  9. Gladkikh V.V., Gladkikh P.V., Gladkikh V.P. Idei i reshenija fundamental'nyh problem nauki i tehniki [Ideas and solutions for fundamental problems of science and technology]. St. Petersburg, 2012, 176 p.
  10. Goodwin G.C., Graebe S.F., Salgado M.E. Proektirovanie sistem upravlenija (+ CD-ROM) [Control system Design engineering (+ CD-ROM)]. Moscow, 2016, 912 p.
  11. Zdor S.E. Kodirovannaja informacija. Ot pervyh prirodnyh kodov do iskusstvennogo intellekta [Coded information. The first codes from natural to artificial intelligence]. Moscow, 2012, 168 c.
  12. Iskusstvennye immunnye sistemy [Artificial immune system]. Moscow, 2015, 344 p.
  13. Iskusstvennyj intellekt i prinjatie reshenij [Artificial intelligence and decision making]. Moscow, 2011, no. 1, 742 p.
  14. Iskusstvennyj intellekt i prinjatie reshenij [Artificial intelligence and decision making]. Moscow, 2011, no. 4, 124 p.
  15. Iskusstvennyj intellekt. Desjataja nacional'naja konferencija po iskusstvennomu intellektu [Artificial intelligence [Tenth Artificial intelligence. Tenth National Conference on Artificial Intelligence]. Moscow, 2015, vol. 1-3, 359 p.
  16. Iskusstvennyj intellekt. Mezhdisciplinarnyj podhod [Artificial intelligence. Interdisciplinary approach]. Moscow, 2013, 448 c.
  17. Kalinichenko L.A., Ryvkin V.M. Mashiny baz dannyh i znanij [Machine databases and knowledge bases]. Moscow, 2011, 296 p.

For citation

Kulikov V.G. Heuristic Information and Methods of Obtaining and Improving Space-Planning Decisions of Buildings and Constructions. Architecture and Modern Information Technologies, 2017, no. 4(41), pp. 298-308. Available at: http://marhi.ru/eng/AMIT/2017/4kvart17/22_kulikov/index.php