A Carbon Aware Ant Colony System (CAACS)
Fuente:
arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866908868646273024 |
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| author | Lin, Marina Schaposnik, Laura P. |
| author_facet | Lin, Marina Schaposnik, Laura P. |
| contents | In an era where sustainability is becoming increasingly crucial, we introduce a new Carbon-Aware Ant Colony System (CAACS) Algorithm that addresses the Generalized Traveling Salesman Problem (GTSP) while minimizing carbon emissions. This novel approach leverages the natural efficiency of ant colony pheromone trails to find optimal routes, balancing both environmental and economic objectives. By integrating sustainability into transportation models, CAACS provides a powerful tool for real-world applications, including network design, delivery route planning, and commercial aircraft logistics. Our algorithm's unique bi-objective optimization advances the study of sustainable transportation solutions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_09404 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Carbon Aware Ant Colony System (CAACS) Lin, Marina Schaposnik, Laura P. Optimization and Control Systems and Control Physics and Society In an era where sustainability is becoming increasingly crucial, we introduce a new Carbon-Aware Ant Colony System (CAACS) Algorithm that addresses the Generalized Traveling Salesman Problem (GTSP) while minimizing carbon emissions. This novel approach leverages the natural efficiency of ant colony pheromone trails to find optimal routes, balancing both environmental and economic objectives. By integrating sustainability into transportation models, CAACS provides a powerful tool for real-world applications, including network design, delivery route planning, and commercial aircraft logistics. Our algorithm's unique bi-objective optimization advances the study of sustainable transportation solutions. |
| title | A Carbon Aware Ant Colony System (CAACS) |
| topic | Optimization and Control Systems and Control Physics and Society |
| url | https://arxiv.org/abs/2407.09404 |