A hybrid genetic algorithm with multiple decoding methods for energy-aware remanufacturing system scheduling problem

•An energy-aware remanufacturing system scheduling problem is investigated.•Disassembly, reprocessing and reassembly production stages are integrated.•A green criterion and well-accepted Turn Off and On strategy are considered.•An effective hybrid genetic algorithm GAVNS is introduced.•Three distinct decoding methods are accordingly designed.