330-0518/01 – Optimization of Mechanical Systems (OPTMS)

Gurantor departmentDepartment of Applied MechanicsCredits5
Subject guarantorprof. Ing. Jaroslav Zapoměl, DrSc.Subject version guarantorprof. Ing. Jaroslav Zapoměl, DrSc.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semesterwinter
Study languageCzech
Year of introduction2015/2016Year of cancellation
Intended for the facultiesFSIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
FER03 Ing. Petr Ferfecki, Ph.D.
ZAP60 prof. Ing. Jaroslav Zapoměl, DrSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 3+2
Combined Credit and Examination 6+6

Subject aims expressed by acquired skills and competences

1. To characterize the basic types of optimization problems and recognize the role of problems in engineering practice. 2. Explain the principles of optimization methods, describe their algorithms and discuss their advantages and disadvantages. 3. Apply theoretical knowledge to solving practical problems, interpret the results, modify the solution procedure. 4. Analyze and evaluate the results obtained from optimization solutions, partly analyze the optimization procedures.

Teaching methods

Lectures
Individual consultations
Tutorials
Project work

Summary

Students will learn the basic methods of local and global optimization, both in terms of theoretical foundations of each method, and also from the practical experiences, ie. software processing techniques in MATLAB. The content of this subject are methods based on optimization of smooth functions of one variable and functions of several variables, broken down into methods 0th, 1st and higher-order methods. Then follow the methods of global optimization like Monte Carlo method and methods derived from the genetic algorithm. Finally, students learn about the most common indication, practices in commercial software, this practical component is conducted in the ANSYS environment.

Compulsory literature:

Ravindran, A., Ragsdell, K. M.; Reklaitis, G. V. Engineering Optimization. 2nd ed. Wiley, 2003. Yang, Won-Yong, Cao, Wenwu, Chung, Tae-Sang, Morris, John. Applied Numerical Methods Using MATLAB®. Wiley, 2005. Lyshevski, Sergey E. Engineering and Scientific Computations Using MATLAB®. Wiley, 2003.

Recommended literature:

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Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

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Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Optimization - Introduction: the practical use and mathematical terminology and basics. Unconstrain optimization of continuous functions - the existence of optimum conditions. Optimization of one variable function: the method of elimination and approximation; 0th and 1st order methods. Optimization of multivariablefunction; 0th, 1st and higher order methods. Introduction to global optimization. Global optimization methods derived from Monte Carlo method and/or Genetic Algorithm method. Optimization procedures available in the application software. Solving optimization problems in the application software (now ANSYS and ANSYS Workbench).

Conditions for subject completion

Combined form (validity from: 2017/2018 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 30  5
        Examination Examination 70  21
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (N2301) Mechanical Engineering (3909T001) Design and Process Engineering (40) Design of Machines and Equipment P Czech Ostrava 2 Compulsory study plan
2019/2020 (N2301) Mechanical Engineering (3901T003) Applied Mechanics P Czech Ostrava 2 Compulsory study plan
2019/2020 (N2301) Mechanical Engineering (3901T003) Applied Mechanics K Czech Ostrava 2 Compulsory study plan
2018/2019 (N2301) Mechanical Engineering (3909T001) Design and Process Engineering (40) Design of Machines and Equipment P Czech Ostrava 2 Compulsory study plan
2018/2019 (N2301) Mechanical Engineering (3901T003) Applied Mechanics P Czech Ostrava 2 Compulsory study plan
2018/2019 (N2301) Mechanical Engineering (3901T003) Applied Mechanics K Czech Ostrava 2 Compulsory study plan
2017/2018 (N2301) Mechanical Engineering (3909T001) Design and Process Engineering (40) Design of Machines and Equipment P Czech Ostrava 2 Compulsory study plan
2017/2018 (N2301) Mechanical Engineering (3901T003) Applied Mechanics P Czech Ostrava 2 Compulsory study plan
2017/2018 (N2301) Mechanical Engineering (3901T003) Applied Mechanics K Czech Ostrava 2 Compulsory study plan
2016/2017 (N2301) Mechanical Engineering (3909T001) Design and Process Engineering (40) Design of Machines and Equipment P Czech Ostrava 2 Compulsory study plan
2016/2017 (N2301) Mechanical Engineering (3901T003) Applied Mechanics P Czech Ostrava 2 Compulsory study plan
2015/2016 (N2301) Mechanical Engineering (3909T001) Design and Process Engineering (40) Design of Machines and Equipment P Czech Ostrava 2 Compulsory study plan
2015/2016 (N2301) Mechanical Engineering (3901T003) Applied Mechanics P Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner