Modified Genetic Algorithm using Tabu List to Solve Scheduling Problem

Wijaya, Yonathan Prawira (2016) Modified Genetic Algorithm using Tabu List to Solve Scheduling Problem. Other thesis, Fakultas Ilmu Komputer UNIKA Soegijapranata.

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Abstract

This Final Project's research is important to give another analysis to solving the scheduling problem. One of the scheduling problem is university courses scheduling. The complexity of university courses scheduling lies on lecturers should not collided and should be only one course for each semester to be scheduled while the number of lecturers are limited. The problem will be solved using Genetic Algorithm that modified with Tabu List. Genetic Algortihm works by generating solutions. Meanwhile, Tabu List prevent the Genetic Algorithm to generating same possibilities. The results is displayed in the form of tables for each day result. The result can be viewed through the user interface. There will be options to export into CSV file or image file for user.

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 004 Data processing & computer science
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: Mr Ign. Setya Dwiana
Date Deposited: 31 May 2016 06:23
Last Modified: 31 May 2016 06:23
URI: http://repository.unika.ac.id/id/eprint/9716

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