Genetic algorithms as artificial intelligence support to sustainable optimizations of complex systems
Само за регистроване кориснике
2023
Поглавље у монографији (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
The main goal of this paper was to find an optimal nature inspired model, which will
simulate on the most adequate way all the conditions and restrictions, requirements and
conflicting interests of one energy system. The main goal of the optimization of one energy
system is to find an optimal operation mode at the present stage, and to research possible
future optimal installation from the aspect of cost and sustainability, considering technical
and economical criteria, as well as emission and other environmental criteria. Different
scenarios of introducing renewable power plant in a whole energy system of one country
are developed. Evolutionary multiple objective genetic algorithms are applied. The results
of such artificial intelligence model show the maximal economy, technical and
environmental effects of introducing higher capacities of renewable resources in a system.
Кључне речи:
artificial intelligence / genetic algorithm / nature inspired optimization / sustainability / environmentИзвор:
II INTERNATIONAL CONFERENCE ON ADVANCES IN SCIENCE AND TECHNOLOGY COAST 2023, 2023, 287-292Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200213 (Иновациони центар Машинског факултета у Београду доо) (RS-MESTD-inst-2020-200213)
- AINIOF-SWM - Artificial Intelligence and Nature Inspired Optimization in the Function of Sustainable Water Management (RS-ScienceFundRS-Dijaspora-6458003)
Колекције
Институција/група
Inovacioni centarTY - CHAP AU - Stevović, Ivan AU - Jovanović, Jovana PY - 2023 UR - https://machinery.mas.bg.ac.rs/handle/123456789/7048 AB - The main goal of this paper was to find an optimal nature inspired model, which will simulate on the most adequate way all the conditions and restrictions, requirements and conflicting interests of one energy system. The main goal of the optimization of one energy system is to find an optimal operation mode at the present stage, and to research possible future optimal installation from the aspect of cost and sustainability, considering technical and economical criteria, as well as emission and other environmental criteria. Different scenarios of introducing renewable power plant in a whole energy system of one country are developed. Evolutionary multiple objective genetic algorithms are applied. The results of such artificial intelligence model show the maximal economy, technical and environmental effects of introducing higher capacities of renewable resources in a system. T2 - II INTERNATIONAL CONFERENCE ON ADVANCES IN SCIENCE AND TECHNOLOGY COAST 2023 T1 - Genetic algorithms as artificial intelligence support to sustainable optimizations of complex systems EP - 292 SP - 287 UR - https://hdl.handle.net/21.15107/rcub_machinery_7048 ER -
@inbook{ author = "Stevović, Ivan and Jovanović, Jovana", year = "2023", abstract = "The main goal of this paper was to find an optimal nature inspired model, which will simulate on the most adequate way all the conditions and restrictions, requirements and conflicting interests of one energy system. The main goal of the optimization of one energy system is to find an optimal operation mode at the present stage, and to research possible future optimal installation from the aspect of cost and sustainability, considering technical and economical criteria, as well as emission and other environmental criteria. Different scenarios of introducing renewable power plant in a whole energy system of one country are developed. Evolutionary multiple objective genetic algorithms are applied. The results of such artificial intelligence model show the maximal economy, technical and environmental effects of introducing higher capacities of renewable resources in a system.", journal = "II INTERNATIONAL CONFERENCE ON ADVANCES IN SCIENCE AND TECHNOLOGY COAST 2023", booktitle = "Genetic algorithms as artificial intelligence support to sustainable optimizations of complex systems", pages = "292-287", url = "https://hdl.handle.net/21.15107/rcub_machinery_7048" }
Stevović, I.,& Jovanović, J.. (2023). Genetic algorithms as artificial intelligence support to sustainable optimizations of complex systems. in II INTERNATIONAL CONFERENCE ON ADVANCES IN SCIENCE AND TECHNOLOGY COAST 2023, 287-292. https://hdl.handle.net/21.15107/rcub_machinery_7048
Stevović I, Jovanović J. Genetic algorithms as artificial intelligence support to sustainable optimizations of complex systems. in II INTERNATIONAL CONFERENCE ON ADVANCES IN SCIENCE AND TECHNOLOGY COAST 2023. 2023;:287-292. https://hdl.handle.net/21.15107/rcub_machinery_7048 .
Stevović, Ivan, Jovanović, Jovana, "Genetic algorithms as artificial intelligence support to sustainable optimizations of complex systems" in II INTERNATIONAL CONFERENCE ON ADVANCES IN SCIENCE AND TECHNOLOGY COAST 2023 (2023):287-292, https://hdl.handle.net/21.15107/rcub_machinery_7048 .