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- W3046399160 abstract "In this work, we introduce, GA-lapagos, an open-source genetic algorithm framework written in 'C' for 3 exemplar optimization problems, and an accompanying Python-based data analysis scripts to extract and produce results. We created this system to help researchers implement a fast GA solving system for their problems allowing them to implement and leverage many ideas implemented in the research literature. Additionally, we provide a number of compilation paths to parallel computational systems such as multi-core, GPUs, and FPGAs. By building an executable framework and outputting results in comma separated values (CSV) format, we create a set of Python scripts to read the data and create graphs." @default.
- W3046399160 created "2020-08-07" @default.
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- W3046399160 date "2020-07-08" @default.
- W3046399160 modified "2023-09-23" @default.
- W3046399160 title "GA-lapagos, an open-source c framework including a python-based system for data analysis" @default.
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- W3046399160 doi "https://doi.org/10.1145/3377929.3398113" @default.
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