Evaluation of Whale, Fruit Fly and Cuckoo Search Algorithms in Optimizing Multi-Objective Operation of Golestan Dam Reservoir Based on Multi-Criteria Decision-Making Method
In this research, after introducing the Whale, Cuckoo search and fruit fly Multi-Objective Optimization Algorithms, their performance individually and compared to each other was evaluated to optimize the Golestan Dam reservoir operation policies with an approach to reduce downstream water demand sho...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
Marvdasht Branch, Islamic Azad University
2020-12-01
|
| Series: | مهندسی منابع آب |
| Subjects: | |
| Online Access: | https://wej.marvdasht.iau.ir/article_4462_9b3c8ddd3c33d3cff81f5c847fcf0072.pdf |
| _version_ | 1797359732197949440 |
|---|---|
| author | Alireza Donyaii Amirpouya Sarraf hassan ahmadi |
| author_facet | Alireza Donyaii Amirpouya Sarraf hassan ahmadi |
| author_sort | Alireza Donyaii |
| collection | DOAJ |
| description | In this research, after introducing the Whale, Cuckoo search and fruit fly Multi-Objective Optimization Algorithms, their performance individually and compared to each other was evaluated to optimize the Golestan Dam reservoir operation policies with an approach to reduce downstream water demand shortages and flood storage volume management based on reliability, resilience, vulnerability and sustainability criteria. The results showed that the proposed algorithms act differently in optimizing the objective functions. So that the whale multi-objective optimization algorithm leads to better values of objective functions. Regarding to the optimization time, although, there are no significant differences between the cuckoo search and whale algorithms, both perform far better than the fruit fly algorithm and achieve much more convergence over time. When comparing the whale algorithm, as the most efficient algorithm, with the fruit fly algorithm, as the most inefficient algorithm, the model reliability and resilience indices increased by 44% and 52%, respectively, and its vulnerability decreased by 23%, indicating a better performance compared to the other algorithms. Therefore, Whale multi-objective optimization algorithm performs better and converges better than the other algorithms, and cuckoo search and fruit fly multi-objective algorithms ranked second and third. |
| first_indexed | 2024-03-08T15:27:57Z |
| format | Article |
| id | doaj.art-ed328a2d9638400a9f7f650e3480b24b |
| institution | Directory Open Access Journal |
| issn | 2008-6377 2423-7191 |
| language | fas |
| last_indexed | 2024-03-08T15:27:57Z |
| publishDate | 2020-12-01 |
| publisher | Marvdasht Branch, Islamic Azad University |
| record_format | Article |
| series | مهندسی منابع آب |
| spelling | doaj.art-ed328a2d9638400a9f7f650e3480b24b2024-01-10T08:11:24ZfasMarvdasht Branch, Islamic Azad Universityمهندسی منابع آب2008-63772423-71912020-12-011347851004462Evaluation of Whale, Fruit Fly and Cuckoo Search Algorithms in Optimizing Multi-Objective Operation of Golestan Dam Reservoir Based on Multi-Criteria Decision-Making MethodAlireza Donyaii0Amirpouya Sarraf1hassan ahmadi2Civil Engineering Department, Roudehen Branch, Islamic Azad University, Roudehen, IranDepartment of Civil Engineering, Roudehen Branch, Islamic Azad university, Roudehen, IranDepartment of civil engineering, islamic azad university, roudehen branch, roudehen, tehranIn this research, after introducing the Whale, Cuckoo search and fruit fly Multi-Objective Optimization Algorithms, their performance individually and compared to each other was evaluated to optimize the Golestan Dam reservoir operation policies with an approach to reduce downstream water demand shortages and flood storage volume management based on reliability, resilience, vulnerability and sustainability criteria. The results showed that the proposed algorithms act differently in optimizing the objective functions. So that the whale multi-objective optimization algorithm leads to better values of objective functions. Regarding to the optimization time, although, there are no significant differences between the cuckoo search and whale algorithms, both perform far better than the fruit fly algorithm and achieve much more convergence over time. When comparing the whale algorithm, as the most efficient algorithm, with the fruit fly algorithm, as the most inefficient algorithm, the model reliability and resilience indices increased by 44% and 52%, respectively, and its vulnerability decreased by 23%, indicating a better performance compared to the other algorithms. Therefore, Whale multi-objective optimization algorithm performs better and converges better than the other algorithms, and cuckoo search and fruit fly multi-objective algorithms ranked second and third.https://wej.marvdasht.iau.ir/article_4462_9b3c8ddd3c33d3cff81f5c847fcf0072.pdfwhalecuckoo search and fruit fly algorithmmulti-objective optimal operationflood control and supplying downstream demandmulti-criteria decision-making methodgolestan dam reservoir |
| spellingShingle | Alireza Donyaii Amirpouya Sarraf hassan ahmadi Evaluation of Whale, Fruit Fly and Cuckoo Search Algorithms in Optimizing Multi-Objective Operation of Golestan Dam Reservoir Based on Multi-Criteria Decision-Making Method مهندسی منابع آب whale cuckoo search and fruit fly algorithm multi-objective optimal operation flood control and supplying downstream demand multi-criteria decision-making method golestan dam reservoir |
| title | Evaluation of Whale, Fruit Fly and Cuckoo Search Algorithms in Optimizing Multi-Objective Operation of Golestan Dam Reservoir Based on Multi-Criteria Decision-Making Method |
| title_full | Evaluation of Whale, Fruit Fly and Cuckoo Search Algorithms in Optimizing Multi-Objective Operation of Golestan Dam Reservoir Based on Multi-Criteria Decision-Making Method |
| title_fullStr | Evaluation of Whale, Fruit Fly and Cuckoo Search Algorithms in Optimizing Multi-Objective Operation of Golestan Dam Reservoir Based on Multi-Criteria Decision-Making Method |
| title_full_unstemmed | Evaluation of Whale, Fruit Fly and Cuckoo Search Algorithms in Optimizing Multi-Objective Operation of Golestan Dam Reservoir Based on Multi-Criteria Decision-Making Method |
| title_short | Evaluation of Whale, Fruit Fly and Cuckoo Search Algorithms in Optimizing Multi-Objective Operation of Golestan Dam Reservoir Based on Multi-Criteria Decision-Making Method |
| title_sort | evaluation of whale fruit fly and cuckoo search algorithms in optimizing multi objective operation of golestan dam reservoir based on multi criteria decision making method |
| topic | whale cuckoo search and fruit fly algorithm multi-objective optimal operation flood control and supplying downstream demand multi-criteria decision-making method golestan dam reservoir |
| url | https://wej.marvdasht.iau.ir/article_4462_9b3c8ddd3c33d3cff81f5c847fcf0072.pdf |
| work_keys_str_mv | AT alirezadonyaii evaluationofwhalefruitflyandcuckoosearchalgorithmsinoptimizingmultiobjectiveoperationofgolestandamreservoirbasedonmulticriteriadecisionmakingmethod AT amirpouyasarraf evaluationofwhalefruitflyandcuckoosearchalgorithmsinoptimizingmultiobjectiveoperationofgolestandamreservoirbasedonmulticriteriadecisionmakingmethod AT hassanahmadi evaluationofwhalefruitflyandcuckoosearchalgorithmsinoptimizingmultiobjectiveoperationofgolestandamreservoirbasedonmulticriteriadecisionmakingmethod |