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Development of Method and Software for Optimization of Scheduling with Bioinspired Algorithms

Student: Krysanov Pavel

Supervisor: Vladimir Viktorovich Morozenko

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Information Analytics in Enterprise Management (Master)

Year of Graduation: 2016

The theme of the dissertation carried out by P. S. Krysanov is "Development of Methods and Software Tools to Optimize Scheduling Using Bioinspired Algorithms." This theme is relevant due to the fact that there are many statements of problems on drawing up schedules for today, though for many statements developed polynomial algorithms to solve them but for some not. This creates a lot of inconvenience to solve some statements, because there is no developed polynomial algorithms for their solutions, and for other statements there are many algorithms, which generates the problem of the correct selection of the algorithm to develop it. In this work there is an attempt to lead many statements to more general and to develop an algorithm to solve these common statements. The amount of dissertation is 51 pages which placed 35 tables, 11 figures and 1 application. 16 sources were used for to make this dissertation.

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