Optimization involves systematic methods of determining the best decisions for a decision problem. Developing mathematical formulations of meaningful performance criteria and constraints for the problem under consideration forms the basis of optimization. While determining the decisions, an objective function related to the optimality criterion is minimized or maximized by considering the existing constraints.
Optimization techniques are widely used in airport revenue management, routes in the transportation sector, investment portfolios in the finance sector, operating room schedules and radiotherapy treatment plans according to patient priorities in the health sector, and inventory levels and work schedules in the production sector.
Sabancı University conducts studies on this subject in both Computer Science and Engineering and Industrial Engineering programs.
Funded Projects
- 2012-2015, TÜBİTAK Career Project (No: 111M543): “Randomized Programming Models for the Post-Disaster Response Network Design Problem”, N. Noyan.
- 2022-2025, TÜBİTAK 1001: "Machine Learning Applications for Learning Product Valuations in Package Pricing Problem", Ezgi Karabulut Türkseven
Faculty Members
FENS Faculty Member
Research Areas
Decision Making Under Uncertainty • Heuristic Search and Optimization Techniques • Data Mining • Decision Support Systems • Bioinformatics • Innovation Management
FENS Faculty Member
Research Areas
Integer programming, machine learning, distributed optimization, online optimization, algorithm design, bilevel optimization
FENS Faculty Member
Research Areas
Large-scale optimization, transportation and logistics, innovative applications in vehicle routing and scheduling, last-mile and same-day delivery planning, dynamic ride-sharing, smart mobility and logistics.
