Aplicação do operador OWA com meta-heurísticas nos problemas da otimização de ângulo de feixe e da intensidade em IMRT

• Ano de defesa: 2024
• Autor(a) principal: Cezario, Sidemar Fideles
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Rio Grande do Norte; Brasil; UFRN; PROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃO
• Palavras-chave em Português: Computação; Radioterapia; Otimização; Meta-heurística; OWA; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO
• Link de acesso: https://repositorio.ufrn.br/handle/123456789/59798

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. Three algorithms are presented: genetic algorithm, OWA-OMF memetic and multi-model memetic. All include the Ordered weighted averaging (OWA) operator. The multi-model memetic uses different OWA functions to determine the best fluence map for a solution. The algorithms were compared using a new quality indicator composed of the two new indices proposed in this study. Statistical tests were conducted to compare the effectiveness of these algorithms, revealing the superiority of the multi-model memetic algorithm over the others. With these algorithms, it was possible to find clinically viable solutions for most instances.