Background Optimization of DNA and protein sequences based on Machine Learning
models is becoming a powerful tool for molecular design. Activation maximization offers a …

Designing DNA and protein sequences with improved function has the potential to greatly
accelerate synthetic biology. Machine learning models that accurately predict biological …

In this paper, we use an adapted multi-objective version of the differential evolution (DE)
metaheuristics for the design and generation of reliable DNA libraries that can be used for …

The design of reliable DNA sequences is crucial in many engineering applications which
depend on DNA-based technologies, such as nanotechnology or DNA computing. In these …

The reliability of artificially generated DNA molecules is a key factor for applications which
depend on DNA-based technologies, such as DNA computing or nanotechnology. In those …

The design of reliable DNA libraries that can be used for bio-molecular computing involves
several heterogeneous conflicting design criteria that traditional optimization approaches do …

In camera auto calibration, the major goal is to discover intrinsic parameter values that
minimize the cost function. This study proposes to implement Bat algorithm, a stochastic …

Grid computing proposes a dynamic and earthly distributed organization of resources that
harvest ideal CPU cycle to drift advance computing demands and accommodate user's …

DNA-based technologies, such as nanotechnology, DNA sequencing or DNA computing,
have grown significantly in recent years. The inherent properties presented in DNA …

In DNA computing, the design of reliable DNA sequences is one of the most important tasks,
because sequences used for that purpose have to fulfill several biochemical restrictions to …