A METAHEURISTIC OPTIMIZATION ALGORITHM INSPIRED BY TREE PHYSIOLOGICAL SYSTEM

The main disadvantage of metaheuristic algorithm is no guarantee that a global optimum solution due to the stochastic characteristic driven by the mechanism of exploration and exploitation. These components need to be balanced in order to improve the algorithm performance with smaller variance of so...

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Main Author: ABDUL HALIM, ABDUL HANIF
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.19938 /
Published: 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access: http://utpedia.utp.edu.my/19938/1/Abdul%20Hanif%20PhD%20Thesis_September%202018.pdf
http://utpedia.utp.edu.my/19938/
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spelling utp-utpedia.199382019-09-30T10:50:34Z http://utpedia.utp.edu.my/19938/ A METAHEURISTIC OPTIMIZATION ALGORITHM INSPIRED BY TREE PHYSIOLOGICAL SYSTEM ABDUL HALIM, ABDUL HANIF TK Electrical engineering. Electronics Nuclear engineering The main disadvantage of metaheuristic algorithm is no guarantee that a global optimum solution due to the stochastic characteristic driven by the mechanism of exploration and exploitation. These components need to be balanced in order to improve the algorithm performance with smaller variance of solution under repetitive trials, faster convergence towards global optimum and thus with lesser computation cost. There are several factors that affecting the tradeoff between both components. These include randomization mechanism, application of support parameters, fitness assignment, and search dynamic 2018-09 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/19938/1/Abdul%20Hanif%20PhD%20Thesis_September%202018.pdf ABDUL HALIM, ABDUL HANIF (2018) A METAHEURISTIC OPTIMIZATION ALGORITHM INSPIRED BY TREE PHYSIOLOGICAL SYSTEM. PhD thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
ABDUL HALIM, ABDUL HANIF
A METAHEURISTIC OPTIMIZATION ALGORITHM INSPIRED BY TREE PHYSIOLOGICAL SYSTEM
description The main disadvantage of metaheuristic algorithm is no guarantee that a global optimum solution due to the stochastic characteristic driven by the mechanism of exploration and exploitation. These components need to be balanced in order to improve the algorithm performance with smaller variance of solution under repetitive trials, faster convergence towards global optimum and thus with lesser computation cost. There are several factors that affecting the tradeoff between both components. These include randomization mechanism, application of support parameters, fitness assignment, and search dynamic
format Thesis
author ABDUL HALIM, ABDUL HANIF
author_sort ABDUL HALIM, ABDUL HANIF
title A METAHEURISTIC OPTIMIZATION ALGORITHM INSPIRED BY TREE PHYSIOLOGICAL SYSTEM
title_short A METAHEURISTIC OPTIMIZATION ALGORITHM INSPIRED BY TREE PHYSIOLOGICAL SYSTEM
title_full A METAHEURISTIC OPTIMIZATION ALGORITHM INSPIRED BY TREE PHYSIOLOGICAL SYSTEM
title_fullStr A METAHEURISTIC OPTIMIZATION ALGORITHM INSPIRED BY TREE PHYSIOLOGICAL SYSTEM
title_full_unstemmed A METAHEURISTIC OPTIMIZATION ALGORITHM INSPIRED BY TREE PHYSIOLOGICAL SYSTEM
title_sort metaheuristic optimization algorithm inspired by tree physiological system
publishDate 2018
url http://utpedia.utp.edu.my/19938/1/Abdul%20Hanif%20PhD%20Thesis_September%202018.pdf
http://utpedia.utp.edu.my/19938/
_version_ 1741195560165048320
score 11.62408

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