Multi-objective optimization

Since the longitudes and latitudes of the drivers in the Gaia dataset are mainly in city of Chengdu, it is not in the same area as the longitudes and latitudes in the EUA-dataset from Australia, we translate the latitudes and longitudes of drivers to Melbourne, Australia.The drivers will be located around the users and the base stations of the Melbourne subset of EUA-dataset. 

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The dataset contains the result of the multi-objective optimization for finding the optimal dimensions and orientation of three common types of greenhouses (Even-span, Modified arch, Quonset) for maximizing the solar radiation transmitted to the greenhouse in winter and minimizing it in summer.

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This dataset brings some problem sets and results from some classical algorithms from the evolutionary computational community.

We have used some tools: Pymoo, Platypus and Pagmo

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