METHOD OF SOLVING MULTI-OBJECTIVE OPTIMIZATION PROBLEM IN THE PRESENCE OF UNCERTAINTY

Mingliqulov Zafar

Abstract: Multi-objective formulations are realistic models for many complex engineering optimization problems. In many real-life problems considered objectives conflict with each other and optimization of one target solutions can lead to unacceptable results for other purposes. A reasonable solution of the multi-objective problem is to study the set of solutions, each of which satisfies the objectives at an acceptable level with no dominance of any of the solutions. The article provides a brief overview of multi-objective optimization methods (by Pareto criteria) and their improvement.

Keywords: A fuzzy set, forecasting, risk, weakly formalized process for Pareto multi-objective optimization.

DOI: https://doi.org/10.15623/ijret.2014.0301083