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