Optimization Methods in Management Science
Management Science is a key factor in the implementation of management. It deals with the design and implementation of an organization's decisions and strategy, taking into account computational models and decision-making methodologies, modern IT and communications technology, and the business environment.
The aim of the course is to consolidate the Management Science from the students through:
- case-studies, which highlight the modern rational approach of this science to the complex operational and strategic problems of today's companies
- the solution of realistic size and computationally complex problems
On completion of this course, students should be able to:
- apply the appropriate analytical methods to define the components or factors affecting the problems under consideration and to identify the strategic and operational objectives and the constraints governing them
- analyze and design optimization methodologies for solving management science applications.
The course material includes the following thematic areas:
- Computational complexity and management science applications
- Large scale optimization and applications
- Approximation algorithms and applications
- Construction algorithms and applications
- Local search and neighborhood structures
- Iterative improvement algorithms
- Greedy Randomized Adaptive Search Procedures and applications
- Variable Neighborhood Search and Large Neighborhood Search
- Simulated Annealing and applications