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

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.

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