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The course deals with modern methods and tool of optimization. The aim of the course is to use selected lgorthms for solving real problems from technological praxis. For the exam it is necessary to propose a draft of publication form the field of disertation thesis.
Last update: Mareš Jan (07.06.2018)
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Students will be able to:
Last update: Mareš Jan (07.06.2018)
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3 individual projects: 0 - 25 bodů
Oral exam: 0-75 bodů
100-90 A, 89-80 B, 79-70 C, 69-60 D, 59-50 E, méně než 50 F. Last update: Mareš Jan (07.06.2018)
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R: Himmelblau, D. M.: Applied Nonlinear Programming. McGraw-Hill, New York 1972. ISBN 0-07-028921-2. A: Venkataraman P.: Applied Optimization with MATLAB Programming. Wiley, New York. 2002. ISBN 0-471-34958-5. A: Lange, K.: Optimization (2nd edition), Springer, New York 2013. ISBN 978-1-4614-5837-1. Last update: Kukal Jaromír (04.09.2018)
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lectures, project and solving of case stidies Last update: Mareš Jan (07.06.2018)
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1. Optimisation process, aims. Theoretical introduction 2. Local optimisation, analytical and nunerical tools overview. 3. Linear, quadratic and nonlinear programming. 4. Discrete and global optimisation. Genetic and evolution algorithms. 5. Using Optimization Toolbox and Global Optimization Toolbox. Last update: Mareš Jan (07.06.2018)
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www.honeywellprocess.com/
www.mathworks.com/ Last update: Mareš Jan (07.06.2018)
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none Last update: Mareš Jan (07.06.2018)
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none Last update: Mareš Jan (07.06.2018)
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