342-0958/02 – Unconvencional Optimization Methods (NMO)

Gurantor department	Institute of Transport	Credits	10
Subject guarantor	doc. Ing. Dušan Teichmann, Ph.D.	Subject version guarantor	doc. Ing. Dušan Teichmann, Ph.D.
Study level	postgraduate	Requirement	Choice-compulsory type B
Year		Semester	winter + summer
		Study language	English
Year of introduction	2019/2020	Year of cancellation
Intended for the faculties	FS	Intended for study types	Doctoral

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
TEI72	doc. Ing. Dušan Teichmann, Ph.D.

Extent of instruction for forms of study
Form of study	Way of compl.	Extent
Full-time	Examination	25+0
Part-time	Examination	25+0

Subject aims expressed by acquired skills and competences

Course deals with unconvencional algorithms and its biological a physical principles. Students will have information on modern computational approaches for modeling and simulation complicated and complex transportation systems. It contains especially the problems of selected stochastic algorithms and their modification with supplemented evolutionary elements.

Teaching methods

Lectures
Individual consultations
Other activities

Summary

Course deals with stochastic algorithms nad their modifications including the evolutionaly principles.

Compulsory literature:

AFFENZELLER, M.; WAGNER, S.; WINKLER, S.; BEHAM, A.: Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications. London: Chapman and Hall / CRC, 2018. ISBN 978-11-381-1427-2 SIMON, D.: Evolutionary Optimization Algorithms. New York: John Wiley&Sons, 2013. ISBN 978-04-709-3741-9 Články publikované ve vědeckých časopisech (aktuální seznam publikací obdrží doktorand před zahájením výuky).

Recommended literature:

HASSOUN, M., H.: Fundamentals of Artifical Neural Networks. Bradford Book, 2003. ISBN 978-02-625-1467-5 IBA, H.; NOMAN, N.: New Frontier in Evolutionary Algorithms: Theory and Applications. London: Imperial College Pr, 2011. ISBN 978-18-481-6681-3 MAN, K., F.; TANG, K., S., KWONG, S.: Genetic Algorithms - Concepts and Designs. London: Springer, 1999. ISBN 978-1-4471-0577-0

Additional study materials

Study supports in the EduDocs system

Way of continuous check of knowledge in the course of semester

Průběžná práce na projektovém zadání včetně provedení experimentu.

E-learning

Other requirements

Semestral project on the defined topic and its presentation before examiner.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Stochastic optimization methods based on Simulated Annealing and Tabu Search Strategies. 2. Swarm optimization algorithms and methods (PSO, ACO, GSO, FSO, BCO, BA, ABC, HBMO). 3. Optimization Problems Solving under uncertainty. 4. Advanced genetic algorithms. 5. Artifical neural networks. 6. Max-plus algebra. 7. Wawelets and its using for optimization methods. 8. Voronoi diagrams. 9. Cluster Analysis.

Conditions for subject completion

Part-time form (validity from: 2019/2020 Winter semester)

Task name	Type of task	Max. number of points (act. for subtasks)	Min. number of points	Max. počet pokusů
Examination	Examination			3

Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic year	Programme	Form	Study language	Tut. centre	Type of duty
2024/2025	(P1041D040005) Transport Systems	K	English	Ostrava	Choice-compulsory type B	study plan
2024/2025	(P1041D040005) Transport Systems	P	English	Ostrava	Choice-compulsory type B	study plan
2023/2024	(P1041D040005) Transport Systems	P	English	Ostrava	Choice-compulsory type B	study plan
2023/2024	(P1041D040005) Transport Systems	K	English	Ostrava	Choice-compulsory type B	study plan
2022/2023	(P1041D040005) Transport Systems	K	English	Ostrava	Choice-compulsory type B	study plan
2022/2023	(P1041D040005) Transport Systems	P	English	Ostrava	Choice-compulsory type B	study plan
2021/2022	(P1041D040005) Transport Systems	K	English	Ostrava	Choice-compulsory type B	study plan
2021/2022	(P1041D040005) Transport Systems	P	English	Ostrava	Choice-compulsory type B	study plan
2020/2021	(P1041D040005) Transport Systems	K	English	Ostrava	Choice-compulsory type B	study plan
2020/2021	(P1041D040005) Transport Systems	P	English	Ostrava	Choice-compulsory type B	study plan

Occurrence in special blocks

Block name	Academic year	Form of study	Study language	Year	W	S	Type of block	Block owner

Assessment of instruction

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