Multi-objective Optimal Model of Rural Multi-energy Complementary System with Biogas Cogeneration and Electric Vehicle Considering Carbon Emission and Satisfaction

2021 ◽  
pp. 103225
Author(s):  
Wei Fan ◽  
Liling Huang ◽  
Zhongfu Tan ◽  
Fan Xue ◽  
Gejirifu De ◽  
...  
2021 ◽  
Vol 292 ◽  
pp. 126066
Author(s):  
Ridoy Das ◽  
Yue Wang ◽  
Krishna Busawon ◽  
Ghanim Putrus ◽  
Myriam Neaimeh

2018 ◽  
Vol 10 (5) ◽  
pp. 1557 ◽  
Author(s):  
Xiang Liu ◽  
Ning Wang ◽  
Decun Dong

This paper aimed to demonstrate a metaheuristic as a solution procedure to schedule a two-machine, identical parts robotic cell under breakdown. The proposed previous model enabled one to determine optimal allocation of operations to the machines and corresponding processing times of each machine. For the proposed mathematical model to minimize cycle time and operational cost, multi-objective particle swarm optimization (MOPSO) algorithm was provided. Through some numerical examples, the optimal solutions were compared with the previous results. MOPSO algorithm could find the solutions for problems embeds up to 50 operations in a rationale time.


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