White-Tailed Eagle Algorithm for Global Optimization and Low-Cost and Low-CO 2 Emission Design of Retaining Structures
This study proposes a new metaheuristic optimization algorithm, namely the white-tailed eagle algorithm (WEA), for global optimization and optimum design of retaining structures. Metaheuristic optimization methods are now broadly implemented to address problems in a variety of scientific domains. Th...
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ftdoajarticles:oai:doaj.org/article:747f5a4c9ee74dd98ed2858fb884be38 2023-05-15T18:44:06+02:00 White-Tailed Eagle Algorithm for Global Optimization and Low-Cost and Low-CO 2 Emission Design of Retaining Structures Behdad Arandian Amin Iraji Hossein Alaei Suraparb Keawsawasvong Moncef L. Nehdi 2022-08-01T00:00:00Z https://doi.org/10.3390/su141710673 https://doaj.org/article/747f5a4c9ee74dd98ed2858fb884be38 EN eng MDPI AG https://www.mdpi.com/2071-1050/14/17/10673 https://doaj.org/toc/2071-1050 doi:10.3390/su141710673 2071-1050 https://doaj.org/article/747f5a4c9ee74dd98ed2858fb884be38 Sustainability, Vol 14, Iss 10673, p 10673 (2022) nature-inspired white-tailed eagle retaining structure cost CO 2 emissions Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 article 2022 ftdoajarticles https://doi.org/10.3390/su141710673 2022-12-30T21:09:17Z This study proposes a new metaheuristic optimization algorithm, namely the white-tailed eagle algorithm (WEA), for global optimization and optimum design of retaining structures. Metaheuristic optimization methods are now broadly implemented to address problems in a variety of scientific domains. These algorithms are typically inspired by the natural behavior of an agent, which can be humans, animals, plants, or any physical agent. However, a specific metaheuristic algorithm (MA) may not be able to find the optimal solution for every situation. As a result, researchers will aim to propose and discover new methods in order to identify the best solutions to a variety of problems. The white-tailed eagle algorithm (WEA) is a simple but effective nature-inspired algorithm inspired by the social life and hunting activity of white-tailed eagles. The WEA’s hunting is divided into two phases. In the first phase (exploration), white-tailed eagles seek prey inside the searching region. The eagle goes inside the designated space according to the position of the best eagle to find the optimum hunting position (exploitation). The proposed approach is tested using 13 unimodal and multimodal benchmark test functions, and the results are compared to those obtained by some well-established optimization methods. In addition, the new algorithm automates the optimum design of retaining structures under seismic load, considering two objectives: economic cost and CO 2 emissions. The results of the experiments and comparisons reveal that the WEA is a high-performance algorithm that can effectively explore the decision space and outperform almost all comparative algorithms in the majority of the problems. Article in Journal/Newspaper White-tailed eagle Directory of Open Access Journals: DOAJ Articles Sustainability 14 17 10673 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
nature-inspired white-tailed eagle retaining structure cost CO 2 emissions Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 |
spellingShingle |
nature-inspired white-tailed eagle retaining structure cost CO 2 emissions Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Behdad Arandian Amin Iraji Hossein Alaei Suraparb Keawsawasvong Moncef L. Nehdi White-Tailed Eagle Algorithm for Global Optimization and Low-Cost and Low-CO 2 Emission Design of Retaining Structures |
topic_facet |
nature-inspired white-tailed eagle retaining structure cost CO 2 emissions Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 |
description |
This study proposes a new metaheuristic optimization algorithm, namely the white-tailed eagle algorithm (WEA), for global optimization and optimum design of retaining structures. Metaheuristic optimization methods are now broadly implemented to address problems in a variety of scientific domains. These algorithms are typically inspired by the natural behavior of an agent, which can be humans, animals, plants, or any physical agent. However, a specific metaheuristic algorithm (MA) may not be able to find the optimal solution for every situation. As a result, researchers will aim to propose and discover new methods in order to identify the best solutions to a variety of problems. The white-tailed eagle algorithm (WEA) is a simple but effective nature-inspired algorithm inspired by the social life and hunting activity of white-tailed eagles. The WEA’s hunting is divided into two phases. In the first phase (exploration), white-tailed eagles seek prey inside the searching region. The eagle goes inside the designated space according to the position of the best eagle to find the optimum hunting position (exploitation). The proposed approach is tested using 13 unimodal and multimodal benchmark test functions, and the results are compared to those obtained by some well-established optimization methods. In addition, the new algorithm automates the optimum design of retaining structures under seismic load, considering two objectives: economic cost and CO 2 emissions. The results of the experiments and comparisons reveal that the WEA is a high-performance algorithm that can effectively explore the decision space and outperform almost all comparative algorithms in the majority of the problems. |
format |
Article in Journal/Newspaper |
author |
Behdad Arandian Amin Iraji Hossein Alaei Suraparb Keawsawasvong Moncef L. Nehdi |
author_facet |
Behdad Arandian Amin Iraji Hossein Alaei Suraparb Keawsawasvong Moncef L. Nehdi |
author_sort |
Behdad Arandian |
title |
White-Tailed Eagle Algorithm for Global Optimization and Low-Cost and Low-CO 2 Emission Design of Retaining Structures |
title_short |
White-Tailed Eagle Algorithm for Global Optimization and Low-Cost and Low-CO 2 Emission Design of Retaining Structures |
title_full |
White-Tailed Eagle Algorithm for Global Optimization and Low-Cost and Low-CO 2 Emission Design of Retaining Structures |
title_fullStr |
White-Tailed Eagle Algorithm for Global Optimization and Low-Cost and Low-CO 2 Emission Design of Retaining Structures |
title_full_unstemmed |
White-Tailed Eagle Algorithm for Global Optimization and Low-Cost and Low-CO 2 Emission Design of Retaining Structures |
title_sort |
white-tailed eagle algorithm for global optimization and low-cost and low-co 2 emission design of retaining structures |
publisher |
MDPI AG |
publishDate |
2022 |
url |
https://doi.org/10.3390/su141710673 https://doaj.org/article/747f5a4c9ee74dd98ed2858fb884be38 |
genre |
White-tailed eagle |
genre_facet |
White-tailed eagle |
op_source |
Sustainability, Vol 14, Iss 10673, p 10673 (2022) |
op_relation |
https://www.mdpi.com/2071-1050/14/17/10673 https://doaj.org/toc/2071-1050 doi:10.3390/su141710673 2071-1050 https://doaj.org/article/747f5a4c9ee74dd98ed2858fb884be38 |
op_doi |
https://doi.org/10.3390/su141710673 |
container_title |
Sustainability |
container_volume |
14 |
container_issue |
17 |
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10673 |
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1766234659250765824 |