Optimization is a process to achieve the ideal or optimal value of an objective function. In the discipline of mathematics, optimization alsorefers to the study of problems trying to find the minimum and maximum values of a real function. To achieve these minimum and maximum values, some processes were systematically carried out by selecting integers or real numbers that will provide optimal solutions.
The true discriminant between “easy” and “hard” optimization problems in mathematical programming is the convex/nonconvex issue. A problem is convex if it is a minimization of a convex function (or a maximization of a concave function) where the admissible points are in a convex set. The fundamental result in convex analysis says that a locally optimal solution of a convex problem is also globally optimal. This is practically very important since algorithmic termination tests occur at each iteration in the algorithm, they must be computationally very efficient; thus, virtually all termination conditions of optimization algorithms are local conditions, i.e. they test whether the current solution is locally optimal with respect to a pre-defined neighbourhood. If the problem is convex this is enough to guarantee that the solution is globally optimal. Nonconvex problems, on the other hand, may have many different local optimal, and choosing the best one is an extremely hard task.
The field of applied mathematics that studies extremal locations of nonconvex functions subject to (possibly) nonconvex constraints is called Global Optimization.Research on global optimization has been continuing rapidly and many of the findings are of new techniques thatare more sophisticated and efficient.
Therefore, to communicate these findings, in the year of 2017, the Department of Production and Operations Management Universiti Tun Hussein Onn Malaysia (UTHM), Institute of Mathematical Engineering Universiti Malaysia Perlis (UniMAP), Post Graduate School of Universiti Sultan Zainal Abidin Malaysia (Unisza) and Faculty of Industrial Management, Universiti Malaysia Pahang (UMP) has collaborated with Department of Mathematics Faculty of Mathematics and Natural Sciences Universitas Padjadjaran (Unpad), Universitas Pakuan (Unpak), Bogor, Faculty of Industrial Engineering Universitas Langlangbuana (Unla) and Indonesian Operations Research Association (IORA) and UTHM Commercial Sdn. Bhd, to organize the 6th International Conference on Global Optimization and Its Applications in Melaka, Malaysia will be held on 25 November 2017.
Hosted by :
Faculty of Technology Management and Business, UTHM