MOGA-Based Multi-drug Optimisation for Cancer Chemotherapy

Saleh Algoul, Muhammad Alam, Kazi Sakib, Alamgir Hossain, Azim Majumder

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    4 Citations (Scopus)
    2 Downloads (Pure)


    This paper presents a novel method of multi-drug scheduling using multi-objective genetic algorithm (MOGA) that can find suitable/optimum dosages by trading-off between cell killing and toxic side-effects of chemotherapy treatment. A close-loop control method, namely Integral-Proportional-Derivative (I-PD) is designed to control dosages of drugs to be infused to the patient’s body and MOGA is used to find suitable parameters of the controller. A cell compartments model is developed and used to describe the effects of the drugs on different type of cells, plasma drug concentration and toxic side-effects. Results show that specific drug schedule obtained through the proposed method can reduce the tumour size nearly 100% with relatively lower toxic side-effects.
    Original languageEnglish
    Pages (from-to)133-140
    JournalAdvances in Intelligent and Soft Computing
    Publication statusPublished - 2011


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