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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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Main Authors:	Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Mohd Mawardi, Saari, Hamdan, Daniyal, Mirjalili, Seyedali
Format:	Article
Language:	English English
Published:	Springer Science and Business Media Deutschland GmbH 2023
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
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 http://umpir.ump.edu.my/id/eprint/38695/ https://doi.org/10.1007/s00521-022-07761-w https://doi.org/10.1007/s00521-022-07761-w
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id	my.ump.umpir.38695
record_format	eprints
spelling	my.ump.umpir.386952023-10-31T06:56:42Z 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
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
building	UMPSA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang Al-Sultan Abdullah
content_source	UMPSA Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English English
topic	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
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
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.
format	Article
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
title	Evolutionary mating algorithm
title_short	Evolutionary mating algorithm
title_full	Evolutionary mating algorithm
title_fullStr	Evolutionary mating algorithm
title_full_unstemmed	Evolutionary mating algorithm
title_sort	evolutionary mating algorithm
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2023
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 http://umpir.ump.edu.my/id/eprint/38695/ https://doi.org/10.1007/s00521-022-07761-w https://doi.org/10.1007/s00521-022-07761-w
_version_	1822923720463745024
score	13.232414

Evolutionary mating algorithm

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