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Magistr DonNTU Suhoruckov Dmitry Viktorovich

Suhoruckov Dmitry Viktorovich

Faculty: Computer Information Technologies & Automation
Speciality: Automated Control Systems (ACS)

Master's thesis subject: Optimization of the industrial technological systems in mechanical engineering by using the genetic algorithms


Scientific adviser: Sekirin Alexandr Ivanovich


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Library:

1.Genetic algorithms - the mathematical device - The article is devoted to genetic algorithms and various ways of coding the information, applied to its realization.
       Автор: Starikov Alexey, BaseGroup Labs http://www.basegroup.ru/genetic/math.htm

2. About thr efficiency of the koevolutional approach in in practical problems of optimization - In the article are offered a self-adjusted koevolutional algorithms of conditional and unconditional optimization. Their efficiency are shown.
       Автор: G.V. Procikov, E.S. Semenkin, K.A. Tokmin About thr efficiency of the koevolutional approach in in practical problems of optimization (p. 233-239) http://library.krasu.ru/

3. Flexible Machining System (FMS) - The concept of Flexible Machining System (FMS), the levels of FMS and the structure of information are shown. Advantages and lacks of the given system are allocated.
       The list of sources:

4.Genetic Algorithms in Search and Optimization - Applications of genetic algorithms for search and optimization are shown(english)
       The author: : Richard Baker http://www.fenews.com/fen5/ga.html

5. Investigating Parallel Genetic Algorithms on Job Shop Scheduling Problems - This paper describes a GA for job shop scheduling problems. Using the Giffler and Thompson algorithm, were created two new operators, THX crossover and mutation, which better transmit temporal relationships in the schedule. The approach produced excellent results on standard benchmark job shop scheduling problems.
       The authors: Shyh-Chang Lin, Erick D.Goodman, William F.Punch, III. Genetic Algorithms Research and Applications Group, Michigan State University http://garage.cse.msu.edu/

6. Multiobjective Genetic Algorithms Applied to Solve Optimization Problems - In this paper, discuss multiobjective optimization problems solved by evolutionary algorithms. Where are presents the nondominated sorting genetic algorithm (NSGA) to solve this class of problems and its performance is analyzed in comparing its results with those obtained with four others algorithms.
       The authors: Alexandre H.F. Dias and Joao A. de Vasconcelos., IEEE Transactions on Magnetics, Vol. 38, No. 2, pp. 1133--1136, March 2002. http://delta.cs.cinvestav.mx/~ccoello/EMOO/dias02.pdf.gz

7. The complex program of modelling, analysis and optimization of the automated technological mechanoprocessing - The program complex for modelling, analysing and optimization of automated technological complexes for mechanical processing. The programs are developed on the base of the obiect model of automated technological complex (ATC) for mechanical processing and modified genetic algorithm, it has modular structure and database for keeping parameters of ATC equipment. The program complex ensures an opportunity of modeling, analysing and optimization of technological complexes with the different composition of equipment and layout scheme.
       The author: Sekirin A. I. alx@kita.donntu.ru, Donetsk National Technical University, Donetsk, speciality Automated Control Systems

8. MES-systems in discrete manufacture - In this paper, discuss the problems arising in discrete manufacture and offered a way of their decision.
       The authors: Budnik R.A., Kuminov V.V. http://www.mesa.ru/?p=600012

9. An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules - This paper proposes a new chromosome representation and a design of related parameters to solve the FJSP efficiently. The results of applying the new chromosome representation for solving the 10 jobs x 10 machines FJSP are compared with three other chromosome representations. Empirical experiments show that the proposed chromosome representation obtains better results than the others in both quality and processing time required.
       Авторы : Joc Cing Tay , Djoko Wibowo Intelligent Systems Lab Nanyang Technological University http://www.ntu.edu.sg/home/asjctay/doc/wibowo.pdf

10. Эффективное представление хромосомы для задачи построения расписания гибких производственных систем - My translation of the 9-th article.
       http://www.ntu.edu.sg/home/asjctay/doc/wibowo.pdf

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рус укр eng suhoruckov@mail.ru DonNTU CITA magisters