GitHub - basnetmanjur/HES-optimization-California: This project uses genetic algorithm (GA) to optimize a multiobjective function based on minimizing cost and emissions when selecting renewable energy sources to meet the energy demands in California.

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This project uses genetic algorithm (GA) to optimize a multiobjective function based on minimizing cost and emissions when selecting renewable energy sources to meet the energy demands in California.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Data.csv		Data.csv
Electrolyzergen.m		Electrolyzergen.m
Geothermalgen.m		Geothermalgen.m
Modulargen.m		Modulargen.m
Nucleargen.m		Nucleargen.m
SaveOut.m		SaveOut.m
Solargen.m		Solargen.m
Windgen.m		Windgen.m
fuelcell.m		fuelcell.m
ga_save_each_gen.m		ga_save_each_gen.m
gascoreoutfun.m		gascoreoutfun.m
mainScript.m		mainScript.m
nonlcon_gpt.m		nonlcon_gpt.m
objectivefunctions.m		objectivefunctions.m
storage.m		storage.m

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This project uses genetic algorithm (GA) to optimize a multiobjective function based on minimizing cost and emissions when selecting renewable energy sources to meet the energy demands in California.