NSGA-II APPLICATION METHOD ON MULTI-OBJECTIVE PROFIT-LOSS SHARING OPTIMIZATION PROBLEM IN SHARIA INVESTMENT

The traders in traditional markets requires substantial capital to develop their business in order to survive in competition with the modern market. Conventional bank provide the capital, but they still use the conventional system of interest rate which is forbidden by our religion. Thus we need...

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Main Author: Mustika, Tika
Format: Theses
Language:Indonesia
Subjects:
Online Access:https://digilib.itb.ac.id/gdl/view/33948
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:33948
spelling id-itb.:339482019-01-31T11:01:23ZNSGA-II APPLICATION METHOD ON MULTI-OBJECTIVE PROFIT-LOSS SHARING OPTIMIZATION PROBLEM IN SHARIA INVESTMENT Mustika, Tika Matematika Indonesia Theses Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II), multi- objective optimization, prot-loss sharing ratio, Islamic investment models. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/33948 The traders in traditional markets requires substantial capital to develop their business in order to survive in competition with the modern market. Conventional bank provide the capital, but they still use the conventional system of interest rate which is forbidden by our religion. Thus we need to be applied a provit-loss sharing scheme of the investment which are accordance with the Islamic Sharia system that use prot sharing ratio as their provit instrument. In determining prot-sharing ratio, the calculation should be done precisely in order to provide the benet to the owners of capital and the fund manager. So the optimization problem is to maximize prots of investors and maximize the portion of the trader. In this thesis, optimization of prot-loss sharing ratio for a large variety and periods of loan are solved using Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II) which is one of the methods multi-objective evolutionary algorithm (MOEA). text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Matematika
spellingShingle Matematika
Mustika, Tika
NSGA-II APPLICATION METHOD ON MULTI-OBJECTIVE PROFIT-LOSS SHARING OPTIMIZATION PROBLEM IN SHARIA INVESTMENT
description The traders in traditional markets requires substantial capital to develop their business in order to survive in competition with the modern market. Conventional bank provide the capital, but they still use the conventional system of interest rate which is forbidden by our religion. Thus we need to be applied a provit-loss sharing scheme of the investment which are accordance with the Islamic Sharia system that use prot sharing ratio as their provit instrument. In determining prot-sharing ratio, the calculation should be done precisely in order to provide the benet to the owners of capital and the fund manager. So the optimization problem is to maximize prots of investors and maximize the portion of the trader. In this thesis, optimization of prot-loss sharing ratio for a large variety and periods of loan are solved using Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II) which is one of the methods multi-objective evolutionary algorithm (MOEA).
format Theses
author Mustika, Tika
author_facet Mustika, Tika
author_sort Mustika, Tika
title NSGA-II APPLICATION METHOD ON MULTI-OBJECTIVE PROFIT-LOSS SHARING OPTIMIZATION PROBLEM IN SHARIA INVESTMENT
title_short NSGA-II APPLICATION METHOD ON MULTI-OBJECTIVE PROFIT-LOSS SHARING OPTIMIZATION PROBLEM IN SHARIA INVESTMENT
title_full NSGA-II APPLICATION METHOD ON MULTI-OBJECTIVE PROFIT-LOSS SHARING OPTIMIZATION PROBLEM IN SHARIA INVESTMENT
title_fullStr NSGA-II APPLICATION METHOD ON MULTI-OBJECTIVE PROFIT-LOSS SHARING OPTIMIZATION PROBLEM IN SHARIA INVESTMENT
title_full_unstemmed NSGA-II APPLICATION METHOD ON MULTI-OBJECTIVE PROFIT-LOSS SHARING OPTIMIZATION PROBLEM IN SHARIA INVESTMENT
title_sort nsga-ii application method on multi-objective profit-loss sharing optimization problem in sharia investment
url https://digilib.itb.ac.id/gdl/view/33948
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