Evolutionary mating algorithm
This paper proposes a new evolutionary algorithm namely Evolutionary Mating Algorithm (EMA) to solve constrained optimization problems. The algorithm is based on the adoption of random mating concept from Hardy–Weinberg equilibrium and crossover index in order to produce new offspring. In this algor...
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| Format: | Article |
| Language: | English English |
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Springer Science and Business Media Deutschland GmbH
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/38695/1/Evolutionary%20mating%20algorithm.pdf http://umpir.ump.edu.my/id/eprint/38695/2/Evolutionary%20mating%20algorithm_ABS.pdf |
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| author | Mohd Herwan, Sulaiman Zuriani, Mustaffa Mohd Mawardi, Saari Hamdan, Daniyal Mirjalili, Seyedali |
| author_facet | Mohd Herwan, Sulaiman Zuriani, Mustaffa Mohd Mawardi, Saari Hamdan, Daniyal Mirjalili, Seyedali |
| author_sort | Mohd Herwan, Sulaiman |
| collection | UMP |
| description | This paper proposes a new evolutionary algorithm namely Evolutionary Mating Algorithm (EMA) to solve constrained optimization problems. The algorithm is based on the adoption of random mating concept from Hardy–Weinberg equilibrium and crossover index in order to produce new offspring. In this algorithm, effect of the environmental factor (i.e. the presence of predator) has also been considered and treated as an exploratory mechanism. The EMA is initially tested on the 23 benchmark functions to analyze its effectiveness in finding optimal solutions for different search spaces. It is then applied to Optimal Power Flow (OPF) problems with the incorporation of Flexible AC Transmission Systems (FACTS) devices and stochastic wind power generation. The extensive comparative studies with other algorithms demonstrate that EMA provides better results and can be used in solving real optimization problems from various fields. |
| first_indexed | 2024-03-06T13:09:16Z |
| format | Article |
| id | UMPir38695 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T13:09:16Z |
| publishDate | 2023 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| record_format | dspace |
| spelling | UMPir386952023-10-31T06:56:42Z http://umpir.ump.edu.my/id/eprint/38695/ Evolutionary mating algorithm Mohd Herwan, Sulaiman Zuriani, Mustaffa Mohd Mawardi, Saari Hamdan, Daniyal Mirjalili, Seyedali QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper proposes a new evolutionary algorithm namely Evolutionary Mating Algorithm (EMA) to solve constrained optimization problems. The algorithm is based on the adoption of random mating concept from Hardy–Weinberg equilibrium and crossover index in order to produce new offspring. In this algorithm, effect of the environmental factor (i.e. the presence of predator) has also been considered and treated as an exploratory mechanism. The EMA is initially tested on the 23 benchmark functions to analyze its effectiveness in finding optimal solutions for different search spaces. It is then applied to Optimal Power Flow (OPF) problems with the incorporation of Flexible AC Transmission Systems (FACTS) devices and stochastic wind power generation. The extensive comparative studies with other algorithms demonstrate that EMA provides better results and can be used in solving real optimization problems from various fields. Springer Science and Business Media Deutschland GmbH 2023-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38695/1/Evolutionary%20mating%20algorithm.pdf pdf en http://umpir.ump.edu.my/id/eprint/38695/2/Evolutionary%20mating%20algorithm_ABS.pdf Mohd Herwan, Sulaiman and Zuriani, Mustaffa and Mohd Mawardi, Saari and Hamdan, Daniyal and Mirjalili, Seyedali (2023) Evolutionary mating algorithm. Neural Computing and Applications, 35 (1). pp. 487-516. ISSN 0941-0643. (Published) https://doi.org/10.1007/s00521-022-07761-w https://doi.org/10.1007/s00521-022-07761-w |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Mohd Herwan, Sulaiman Zuriani, Mustaffa Mohd Mawardi, Saari Hamdan, Daniyal Mirjalili, Seyedali Evolutionary mating algorithm |
| title | Evolutionary mating algorithm |
| title_full | Evolutionary mating algorithm |
| title_fullStr | Evolutionary mating algorithm |
| title_full_unstemmed | Evolutionary mating algorithm |
| title_short | Evolutionary mating algorithm |
| title_sort | evolutionary mating algorithm |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/38695/1/Evolutionary%20mating%20algorithm.pdf http://umpir.ump.edu.my/id/eprint/38695/2/Evolutionary%20mating%20algorithm_ABS.pdf |
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