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Evolving Nano Particle Cancer Treatments with Multiple Particle Types
Utilizing a treatment comprising of multiple types of NPs is expected to be more effective due to the higher complexity of the treatment.
Novelty search employed into the development of cancer treatment simulations
Conventional optimization methodologies may be hindered when the automated search is stuck into local optima because of a deceptive objective function landscape.
Utilizing Differential Evolution into optimizing targeted cancer treatments
Working towards the development of an evolvable cancer treatment simulator, the investigation of Differential Evolution was considered, motivated by the high efficiency of variations of this technique in real-valued problems.
Haploid-Diploid Evolution: Nature's Memetic Algorithm
This paper uses a recent explanation for the fundamental haploid-diploid lifecycle of eukaryotic organisms to present a new memetic algorithm that differs from all previous known work using diploid representations.
