Applying the OWA Operator within Metaheuristics to the Beam Angle and Intensity Problems in IMRT
Radiotherapy, Optimization, Metaheuristic, OWA
The use of radiotherapy for cancer treatment is essential for combating this disease. The challenge is to achieve the minimum dose prescribed for the tumor while avoiding exposure of healthy organs to radiation levels higher than the permitted limits. One of the main therapeutic approaches in this field is intensity-modulated teletherapy (IMRT). This study aimed to optimize the Beam Angle Optimization Problem and Fluency Map Optimization, using metaheuristics such as genetic and memetic algorithms in combination with mathematical programming models. These models include the Ordered weighted averaging (OWA) operator. Statistical tests were conducted to compare the effectiveness of these algorithms, revealing the superiority of the multi-model memetic algorithm over the genetic algorithm, particularly when analyzing these 10 instances. The analyses show that clinically viable solutions could be found in 70% of cases.