Desenvolvimento de um Algoritmo de Otimização Auto-Adaptativo para a Determinação de um Protocolo Otimizado para a Administração de Drogas no Tratamento de Tumores
DOI:
https://doi.org/10.5540/tema.2016.017.02.0225Keywords:
Algoritmo Auto-Adaptativos, Evolução Diferencial, Tratamento de Tumores, Problema de Controle ÓtimoAbstract
Tradicionalmente, os parâmetros utilizados nos algoritmos de otimização heurísticos são considerados fixos durante o processo evolutivo. Apesar desta característica simplificar os códigos computacionais e dos bons resultados apresentados na literatura, o uso de parâmetros fixos não previne a ocorrência de convergência prematura, além de problemas relacionados à sensibilidade destes parâmetros. Neste sentido, este trabalho tem por objetivo propor um algoritmo heurístico auto-adaptativo baseado no conceito de taxa de convergência e de diversidade da população aplicados ao algoritmo de Evolução Diferencial. A metodologia proposta é aplicada na formulação de um protocolo ótimo para a administração de drogas em pacientes com câncer através da proposição e resolução de um problema de controle ótimo multi-objetivo. Assim, deseja-se minimizar a concentração de células cancerígenas e a concentração máxima das drogas administradas ao paciente. Com a Curva de Pareto obtida pode-se escolher um protocolo ótimo para administração de drogas para ser testado na prática.References
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