Optimization of mycelium growth using genetic algorithm for multi-objective functions

Optimization of mycelium growth is a process that are aim to get the optimal value for growing mushroom. Mathematical optimization was typical use for such problem, in which it was supposed to maximizing or minimizing a function. However, for optimizing mycelium growth, there are more than one funct...

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Main Author:	Muhamad Faiz, Abu Bakar
Format:	Undergraduates Project Papers
Language:	English
Published:	2019
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/26417/ http://umpir.ump.edu.my/id/eprint/26417/ http://umpir.ump.edu.my/id/eprint/26417/1/Optimization%20of%20mycelium%20growth%20using%20genetic%20algorithm%20for%20multi-objective.pdf

id	ump-26417
recordtype	eprints
spelling	ump-264172019-11-14T01:17:33Z http://umpir.ump.edu.my/id/eprint/26417/ Optimization of mycelium growth using genetic algorithm for multi-objective functions Muhamad Faiz, Abu Bakar QA76 Computer software Optimization of mycelium growth is a process that are aim to get the optimal value for growing mushroom. Mathematical optimization was typical use for such problem, in which it was supposed to maximizing or minimizing a function. However, for optimizing mycelium growth, there are more than one function that needs to be calculated and solved, making this problem as a multi-objective optimization problem. Multi-objective optimization has become common issues discussed in many fields of study. The traditional method of the optimization requires various degree of understanding and analyzation of multiple things such as the importance of an objective against the other objectives. Trade-off between the objectives, exist for the optimization process. To solve this issues, multi-objective genetic algorithm was chosen as the methodology for this project, specifically using NSGA-ii algorithm. In order to achieve such goal, several research papers related to mycelium and mushroom has been selected as part of the materials for literature review. Several papers related to genetic algorithm and objective optimization were also included. The nitrogen concentration and the mycelium extension rate of are two objectives problem that need to be solved. Through the implementation of selected multi-objective genetic algorithm, NSGA-ii was able to produce pareto front for optimizing both nitrogen concentration and the extension rate of the mycelium. Based on that result, it is concluded that multi-objective optimization problem can be solve using the applied method. 2019-05 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26417/1/Optimization%20of%20mycelium%20growth%20using%20genetic%20algorithm%20for%20multi-objective.pdf Muhamad Faiz, Abu Bakar (2019) Optimization of mycelium growth using genetic algorithm for multi-objective functions. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Muhamad Faiz, Abu Bakar Optimization of mycelium growth using genetic algorithm for multi-objective functions
description	Optimization of mycelium growth is a process that are aim to get the optimal value for growing mushroom. Mathematical optimization was typical use for such problem, in which it was supposed to maximizing or minimizing a function. However, for optimizing mycelium growth, there are more than one function that needs to be calculated and solved, making this problem as a multi-objective optimization problem. Multi-objective optimization has become common issues discussed in many fields of study. The traditional method of the optimization requires various degree of understanding and analyzation of multiple things such as the importance of an objective against the other objectives. Trade-off between the objectives, exist for the optimization process. To solve this issues, multi-objective genetic algorithm was chosen as the methodology for this project, specifically using NSGA-ii algorithm. In order to achieve such goal, several research papers related to mycelium and mushroom has been selected as part of the materials for literature review. Several papers related to genetic algorithm and objective optimization were also included. The nitrogen concentration and the mycelium extension rate of are two objectives problem that need to be solved. Through the implementation of selected multi-objective genetic algorithm, NSGA-ii was able to produce pareto front for optimizing both nitrogen concentration and the extension rate of the mycelium. Based on that result, it is concluded that multi-objective optimization problem can be solve using the applied method.
format	Undergraduates Project Papers
author	Muhamad Faiz, Abu Bakar
author_facet	Muhamad Faiz, Abu Bakar
author_sort	Muhamad Faiz, Abu Bakar
title	Optimization of mycelium growth using genetic algorithm for multi-objective functions
title_short	Optimization of mycelium growth using genetic algorithm for multi-objective functions
title_full	Optimization of mycelium growth using genetic algorithm for multi-objective functions
title_fullStr	Optimization of mycelium growth using genetic algorithm for multi-objective functions
title_full_unstemmed	Optimization of mycelium growth using genetic algorithm for multi-objective functions
title_sort	optimization of mycelium growth using genetic algorithm for multi-objective functions
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26417/ http://umpir.ump.edu.my/id/eprint/26417/ http://umpir.ump.edu.my/id/eprint/26417/1/Optimization%20of%20mycelium%20growth%20using%20genetic%20algorithm%20for%20multi-objective.pdf
first_indexed	2023-09-18T22:41:08Z
last_indexed	2023-09-18T22:41:08Z
_version_	1777416922079428608

Optimization of mycelium growth using genetic algorithm for multi-objective functions

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