Abstract
Green material selection with energy-consideration (GMS-EC) in product design is a key issue for realizing green and sustainable manufacturing. In this paper, a comprehensive optimization model for GMS-EC is established. A hybrid optimizing method named chaos quantum group leader algorithm (CQGLA) is designed to obtain the optimal energy-consumption solution in designing products with various complexity. Compared with genetic algorithm (GA), group leader algorithm (GLA) and artificial bee colony algorithm (ABCA), it is observed that CQGLA can perform better in terms of speed, search capability and solution quality.
| Original language | English |
|---|---|
| Pages (from-to) | 9-12 |
| Number of pages | 4 |
| Journal | CIRP Annals |
| Volume | 65 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Algorithm
- Energy
- Product material selection
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