- Lecture 1. Assoc. Prof. Gafurjan Ibragimov.
Nonlinear optimization problem is studied under equality type constraints. A solution strategy for such problems is demonstrated based on the method of the Lagrange multipliers.
- Lecture 2. Assoc. Prof. Gafurjan Ibragimov.
Convex optimization problem is stated in general form. General solution strategy is explained by simple examples.
- Lecture 3. Assoc. Prof. Lee Lai Soon
Combinatorial optimization is a topic focuses on finding an optimal solution from a finite set of discrete feasible solutions. In many cases, exhaustive search is not possible. It is a subset of mathematical optimization that is related to computational complexity theory, algorithm theory, and operations research.
- Lecture 4. Mr Sina Zangbari
Raccoon Optimization Algorithm (ROA) is a novel evolutionary algorithm inspired by special characteristics of Raccoon, which is suitable for continuous nonlinear optimization problems.
- Lecture 5. Dr Idham Arif Alias
Strategies in differential game is introduced. Examples of evasion and pursuit games with respective strategy are discussed.
Lecture 6. Assoc. Prof. Gafurjan Ibragimov
Various differential game such as differential games with geometric /integral /state constraints, differential games of many players, fixed duration differential games are explained.
