FAKULTETA ZA ELEKTROTEHNIKO, RAČUNALNIŠTVO IN INFORMATIKO


Subject
 OPERATIONAL RESEARCH OF LOGISTIC, TRANSPORT, AND ECONOMIC SYSTEMS 
https://aips.um.si/PredmetiBP5/UcnaEnotaInfo.asp?Zavod=15&Jezik=A&Leto=2019&Nacin=&Predmet=55D150

Study unit code    55D150 2019

Level Study program or it's part Year Semester
1 BD20 COMPUTER SCIENCE AND INFORMATICS 1 Winter

ECTS kredits 9

Hours - Lectures 60
Hours - Individual Student's Work 210

Lecturers
izr. prof. dr. ZAMUDA ALEŠ

Languages - lectures slovene
Languages - tutorial slovene

Prerequisits
None. 
Content (Syllabus outline)
• Introduction: basic terms and examples in operational research of logistic, transport, and economic systems. • Architecture and taxonomy of algorithms in operational research of logistic, transport, and economic systems. • Algorithm design in operational research of logistic, transport, and economic systems. • Complexity in operational research of logistic, transport, and economic systems. • Complex mission planning and scenarios in uncertain environments. • Constraints handling in operational research of logistic, transport, and economic systems: examples of deep sea navigation and economic dispatch with scenarios for performance evaluation. • Robustness to mission failures and transport reliability. • Energy autonomy and algorithms for economic planning in systems of systems. • Performance comparison of algorithms for operational research of logistic, transport, and economic systems.  
Readings
• Hamdy A. Taha. Operations Research: An Introduction (10th Edition). Pearson. 2016. • M. H. Beilby. Economics and Operational Research. Academic Press. 2014. • Vargas, Patricia A., Ezequiel A. Di Paolo, Inman Harvey, and Phil Husbands, eds. The horizons of evolutionary robotics. MIT Press, 2014. • Somaiyeh Mahmoud Zadeh, David M. W. Powers, Reza Bairam Zadeh. Autonomy and Unmanned Vehicles: Augmented Reactive Mission and Motion Planning Architecture. Springer. 2019. • Aleš Zamuda, José Daniel Hernández Sosa, Leonhard Adler. Constrained Differential Evolution Optimization for Underwater Glider Path Planning in Sub-mesoscale Eddy Sampling. Applied Soft Computing, 2016, vol. 42, pp. 93-118.  
Objectives and competences
The objective of this course is to teach students how to carry out research work on operational research of logistic, transport, and economic systems, which involves the development of these as well as their use. 
Intended learning outcomes - knowledge and understanding
On completion of this course the student will be able to: • demonstrate knowledge, understanding, application, synthesis, and evaluation of operational research of logistic, transport, and economic systems, • analyze and design suitable systems in operational research of logistic, transport, and economic systems systems for solving the problems from the proposed domains, • solve problems autonomously, • create new knowledge from the proposed domains, • apply and evaluate operational research of logistic, transport, and economic systems algorithms for control of systems.  
Intended learning outcomes - transferable/key skills and other attributes
• Communication skills: oral lab work defence, manner of expression at written examination. • Use of information technology: web based information search and use of software tools for operational research of logistic, transport, and economic systems. • Problem solving: design and implementation of programs for operational research of logistic, transport, and economic systems.  
Learning and teaching methods
• lectures, • project work.  

Assessment Weight (%)
Project work 70  
Oral examination 30  
[EOP]