Perbandingan Model Algoritma Particle Swarm Optimization Dan Algoritma Genetika Pada Penjadwalan Perkuliahan
69
DAFTAR PUSTAKA
1.
Adrianto., Dennise. 2012. Timetable Scheduling Menggunakan Particle Swarm
Optimization. Tesis. Universitas Bina Nusantara Jakarta.
2.
Aldasht, M.M., Saheb, M., Najjar, Tamimi. & M.H., Takruri, T.O. 2005.
University Course Scheduling Using Parallel Multi-Objective Evolutionary
Algorithms. Journal of Theoretical and Applied Information Technology.
www.jatit.org. 129-136.
3.
Amirthagadeswaran, K. S. & Arunachalam, V. P. 2006. Improved solutions for
job shop scheduling problems through genetic algorithm with a different
method of schedule deduction. International Journal of Advanced
Manufacturing Technology. 532-540.
4.
Ariani, Dian., Fahriza, Arna. & Prasetyaningrum, Ira. 2011. Optimasi
Penjadwalan Mata Kuliah Dengan Menggunakan Algoritma Particle Swarm
Optimization (PSO). Politeknik Elektronika Negeri Surabaya-Institut
Teknologi Sepuluh Nopember: Surabaya.
5.
Bai, Qinghai. 2010. Analysis Of Particle Swarm Optimization Algorithm. CCSE,
Computer and Information Science. www.ccsenet.org/cis College of
Computer Science and Technology. Inner Mongolia University for
Nationalities. Tongliao 028043: China.
6.
Chu, S.C. H.L. Fang, 1999. Genetic Algorithms vs Tabu Search in Timetable
Schedulling. Jurnal terpublikasi. National Kaohsiung Institute of
Technology, AI Application Group: Taiwan.
7.
Chen, R.M. & Shih, H.F. 2013. Solving University Course Timetabling Problems
Using Constriction Particle Swarm Optimization with Local Search. Article
Algorithms 2013, 6, 227-244; doi:10.3390/a6020227. ISSN 1999-4893
8.
Ciptayani, PI. Mahmudy, WF. & Widodo, AW. 2009. Penerapan Algoritma
Genetika Untuk Kompresi Citra Fractal. Jurnal Ilmu Komputer . vol. 2. no. 1,
April. pp. 1-9.
9.
Clerc M, Kennedy J. 2002. The particle swarm-explosion stability and
convergence in a multidimensional complex space. IEEE Transactions on
Evolutionary Computation, 2002, 6(1): 58-73.
70
10.
11.
Defersha, F & Chen, M. 2010. A Parallel Genetic Algorithm For A Flexible JobShop Scheduling Problem With Sequence Dependent Setups. The
International Journal of Advanced Manufacturing Technology, vol. 49, no.
1, pp. 263-279.
Eberhart, R. C., & Shi, Y. 2001. Particle swarm optimization: developments,
applications and resources. Proceedings of Congress on Evolutionary
Computation, 1, 27-30.
12.
Engelbrecht, A.P. 2006. Fundamentals of Computational Swarm Intelligence.
Wiley.
13.
Ferdian, T., Afriyudi, B. & Mutakin. 2013. Optimasi penjadwalan perkuliahan di
Universitas Tridinanti Palembang. Jurnal Ilmiah Teknik Informatika Ilmu
Komputer . Vol. 11 No.2 Maret: 1-11.
14.
Gen, M. & Cheng, R. 1997. Genetic Algorithms and Engineering Design , John
Wiley & Sons, Inc: New York.
15.
Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and
Machine Learning. Massachusetts: AddisonWesley Publishing Company,
Inc
16.
Gunawan, Aldy, Hoon Liong Ong and Kien Ming Ng. 2004. Applying
Metaheuristics For The Course Scheduling Problem. Proceedings of the Fifth
Asia Pacific Industrial Engineering and Management Systems Conference
2004.
17.
Hanita, M. 2011. Penerapan Algoritma Genetika Pada Penjadwalan Mata Kuliah
(Studi Kasus: Program Studi Matematika FMIPA Universitas Bengkulu) .
Jurusan Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam,
Universitas Bengkulu.
18.
Haupt, R.L & Haupt, S.E. 2004, Practical Genetic Algorithm, 2 edn, John Wiley
& Sons, Inc., Hoboken: New Jersey. ISBN 0-471-45565-2
19.
Hsieh, L.F., Huang, C.J. & Huang, C.L. 2007. Applying Particle Swarm
Optimization To Schedule Order Picking Routes In A Distribution Center.
Asian Journal of Management and Humanity Sciences . Vol. 1, No. 4. pp.
558-576.
20.
Hu,
21.
Isabella, L.S, Herry, C.P. 2010. Perbandingan Kombinasi Genetic Algorithm–
Simulated Annealing dengan Particle Swarm Optimization pada
Permasalahan Tata Letak Fasilitas. Jurnal Teknik Industri, Vol. 12, No. 2,
Desember 2010, 119-124. ISSN 1411-2485
X. H. 2002. PSO Tutorial. (diakses
http://www.swarmintelligence.org/tutorials.php).
Juni
2014
dari:
71
22.
Jain, A.D.S. & Chande, D.P. 2010. Formulation of Genetic Algorithm to Generate Good
Quality Course Timetable. International Journal of Innovation, Management and
Technology 1, 248-251.
23.
Jamnezhad, M.E., Javidan, R. & Dezfouli , M.A. 2011. Optimization of
timetabling structures based on evolutionary algorithms. 5th Symposium on
Advances in Science and Technology (5thsastech) Mashhad : Iran.
24.
Jatmiko,W., Febrian, A., Jovan, F., Suryana, M.E., Alvisalim, M.S. & Insani, A.
2010. Swarm Robot Dalam Pencarian Sumber Asap. Perpustakaan Nasional.
ISBN: 978-979-1421-08-9
25.
Kennedy, J. & Eberhart, R.C. 1995. Particle swarm optimization. In Proceedings
of the 1995 IEEE International Conference on Neural Networks. IEEE
Service Center, Piscataway.
26.
Liliana, D.Y. & Mahmudy, W.F. 2006. Penerapan Algoritma Genetika pada
Otomatisasi Penjadwalan Kuliah. FMIPA. Universitas Brawijaya: Malang.
27.
Mahmudy, W.F. 2006. Penerapan algoritma genetika pada optimasi model
penugasan. Natural. vol. 10, no. 3. pp. 197-207.
28.
Mahmudy, W.F. 2008a. Optimasi Multi Travelling Salesman Problem (M-TSP)
Dengan Algoritma Genetika. Seminar Nasional Basic Science V. FMIPA.
Universitas Brawijaya: Malang.
29.
Mahmudy, W.F & Rahman, M.A. 2011. Optimasi Fungsi Multi-Obyektif
Berkendala Menggunakan Algoritma Genetika Adaptif Dengan Pengkodean
Real. Kursor, vol. 6, no. 1, pp. 19-26.
30.
Mahmudy, W.F., Marian, R.M. & Luong, L.H.S. 2012a. Solving part type
selection and loading problem in flexible manufacturing system using real
coded genetic algorithms – Part II: optimization. International Conference
on Control, Automation and Robotics, Singapore, 12-14 September. World
Academy of Science. Engineering and Technology, pp. 706-710.
31.
Mahmudy, W.F. 2013. Optimisation of Integrated Multi-Period Production
Planning and Scheduling Problems in Flexible Manufacturing Systems
(FMS) Using Hybrid Genetic Algorithms. School of Engineering. University
of South Australia.
32.
Mahmudy, W.F., Marian, R.M. & Luong, L.H.S. 2013b. Hybrid Genetic
Algorithms For Multi-Period Part Type Selection And Machine Loading
Problems In Flexible Manufacturing System. IEEE International Conference
on Computational Intelligence and Cybernetics . Yogyakarta. Indonesia. 3-4
December. pp. 126-130.
33.
Mahmudy, W.F., Marian, R.M. & Luong, L.H.S. 2013d. Optimization Of Part
Type Selection And Loading Problem With Alternative Production Plans In
72
Flexible Manufacturing System Using Hybrid Genetic Algorithms – Part 2:
Genetic Operators & Results. 5th International Conference on Knowledge
and Smart Technology (KST), Chonburi, Thailand, 31 Jan - 1 Feb, pp. 81-85.
34.
Mahmudy, W.F., Marian, R.M. & Luong, L.H.S. 2013e. Real Coded Genetic
Algorithms For Solving Flexible Job-Shop Scheduling Problem – Part II:
Optimization. Advanced Materials Research, vol. 701, pp. 364-369.
35.
Marian, R.M. 2003. Optimisation Of Assembly Sequences Using Genetic
Algorithms. School of Advanced Manufacturing And Mechanical
Engineering. University of South Australia.
36.
Mawaddah, N.K. & Mahmudy, W.F. 2006. Optimasi Penjadwalan Ujian
Menggunakan Algoritma Genetika. Kursor. vol. 2. no. 2. pp. 1-8.
37.
Michalewicz, Z. 1996. Genetic Algorithms + Data Structures = Evolution
Programs, Springer-Verlag, Heidelberg.
38.
Oner, A., Ozcan,S. & Dengi, D. 2011. Optimization Of University Course
Scheduling Problem With A Hybrid Artificial Bee Colony Algorithm.
Evolutionary Computation (CEC). IEEE Congress on. 339-345.
39.
Pinedo, M. L. 2012. Scheduling: Theory, Algorithms, and Systems. New York:
Springer.
40.
Rahayuningsih, D.A. 2010. Lecturing Scheduling System at Informatic
Engineering Major Islamic University Syarif Hidayatullah Jakarta Using
Genetic Algorithm. Tesis: Jakarta
41.
Raisha A.R, Dadang Syarif & Rika P.S. 2012. Analisa dan Penerapan Metode
Particle Swarm Optimization Pada Optimasi Penjadwalan Kuliah, Jurnal
Teknik Informatika, Vol 1 September, Program Studi Teknik Informatika
Politeknik Caltex Riau: Pekanbaru.
42.
Rosca, Andrew. 2001. Room Scheduling Using a Genetic Algorithm. University
of Bridgeport.
43.
Schutte, J., & Groenwold, A. 2005. A study of global optimization using particle
swarms. Journal of Global Optimization, 31(1), 93-108.
44.
Shi, Y., & Eberhart, R.C. 1998. A Modified Particle Swarm Optimizer.
Proceedings of IEEE International Conference on Evolutionary
Computation, Anchorage, Alaska: USA.
45.
Simamora, P. 2013. Penjadwalan Kuliah dengan Menggunakan Algoritma
Genetika Studi Kasus Fakultas Teknik Universitas Sumatera Utara. Tesis. FT
USU.
46.
Suyanto. 2005. Algoritma Genetika Dalam Matlab. Yogyakarta: Andi offset.
73
47.
Wati, Dwi Ana Ratna, 2011. Sistem Kendali Cerdas: Bandung
48.
Widodo, AW. & Mahmudy, WF. 2010. Penerapan algoritma genetika pada sistem
rekomendasi wisata kuliner. Kursor. vol. 5. no. 4. pp. 205-211.
49.
Xia, W. & Wu, Z. 2006. A Hybrid Particle Swarm Optimization Approach For
The Jobshop Scheduling Problem. International Journal of Advanced
Manufacturing Technology. 360366.
50.
Yogeswaran, M, Ponnambalam, SG & Tiwari, MK. 2009. An Efficient Hybrid
Evolutionary Heuristic Using Genetic Algorithm And Simulated Annealing
Algorithm To Solve Machine Loading Problem In FMS. International
Journal of Production Research, vol. 47, no. 19, pp. 5421-5448.
51.
Yu, J. 2006. Scheduling Of An Assembly Line With A Multi-Objective Genetic
Algorithm. International Journal of Advanced Manufacturing Technology.
551-555.
DAFTAR PUSTAKA
1.
Adrianto., Dennise. 2012. Timetable Scheduling Menggunakan Particle Swarm
Optimization. Tesis. Universitas Bina Nusantara Jakarta.
2.
Aldasht, M.M., Saheb, M., Najjar, Tamimi. & M.H., Takruri, T.O. 2005.
University Course Scheduling Using Parallel Multi-Objective Evolutionary
Algorithms. Journal of Theoretical and Applied Information Technology.
www.jatit.org. 129-136.
3.
Amirthagadeswaran, K. S. & Arunachalam, V. P. 2006. Improved solutions for
job shop scheduling problems through genetic algorithm with a different
method of schedule deduction. International Journal of Advanced
Manufacturing Technology. 532-540.
4.
Ariani, Dian., Fahriza, Arna. & Prasetyaningrum, Ira. 2011. Optimasi
Penjadwalan Mata Kuliah Dengan Menggunakan Algoritma Particle Swarm
Optimization (PSO). Politeknik Elektronika Negeri Surabaya-Institut
Teknologi Sepuluh Nopember: Surabaya.
5.
Bai, Qinghai. 2010. Analysis Of Particle Swarm Optimization Algorithm. CCSE,
Computer and Information Science. www.ccsenet.org/cis College of
Computer Science and Technology. Inner Mongolia University for
Nationalities. Tongliao 028043: China.
6.
Chu, S.C. H.L. Fang, 1999. Genetic Algorithms vs Tabu Search in Timetable
Schedulling. Jurnal terpublikasi. National Kaohsiung Institute of
Technology, AI Application Group: Taiwan.
7.
Chen, R.M. & Shih, H.F. 2013. Solving University Course Timetabling Problems
Using Constriction Particle Swarm Optimization with Local Search. Article
Algorithms 2013, 6, 227-244; doi:10.3390/a6020227. ISSN 1999-4893
8.
Ciptayani, PI. Mahmudy, WF. & Widodo, AW. 2009. Penerapan Algoritma
Genetika Untuk Kompresi Citra Fractal. Jurnal Ilmu Komputer . vol. 2. no. 1,
April. pp. 1-9.
9.
Clerc M, Kennedy J. 2002. The particle swarm-explosion stability and
convergence in a multidimensional complex space. IEEE Transactions on
Evolutionary Computation, 2002, 6(1): 58-73.
70
10.
11.
Defersha, F & Chen, M. 2010. A Parallel Genetic Algorithm For A Flexible JobShop Scheduling Problem With Sequence Dependent Setups. The
International Journal of Advanced Manufacturing Technology, vol. 49, no.
1, pp. 263-279.
Eberhart, R. C., & Shi, Y. 2001. Particle swarm optimization: developments,
applications and resources. Proceedings of Congress on Evolutionary
Computation, 1, 27-30.
12.
Engelbrecht, A.P. 2006. Fundamentals of Computational Swarm Intelligence.
Wiley.
13.
Ferdian, T., Afriyudi, B. & Mutakin. 2013. Optimasi penjadwalan perkuliahan di
Universitas Tridinanti Palembang. Jurnal Ilmiah Teknik Informatika Ilmu
Komputer . Vol. 11 No.2 Maret: 1-11.
14.
Gen, M. & Cheng, R. 1997. Genetic Algorithms and Engineering Design , John
Wiley & Sons, Inc: New York.
15.
Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and
Machine Learning. Massachusetts: AddisonWesley Publishing Company,
Inc
16.
Gunawan, Aldy, Hoon Liong Ong and Kien Ming Ng. 2004. Applying
Metaheuristics For The Course Scheduling Problem. Proceedings of the Fifth
Asia Pacific Industrial Engineering and Management Systems Conference
2004.
17.
Hanita, M. 2011. Penerapan Algoritma Genetika Pada Penjadwalan Mata Kuliah
(Studi Kasus: Program Studi Matematika FMIPA Universitas Bengkulu) .
Jurusan Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam,
Universitas Bengkulu.
18.
Haupt, R.L & Haupt, S.E. 2004, Practical Genetic Algorithm, 2 edn, John Wiley
& Sons, Inc., Hoboken: New Jersey. ISBN 0-471-45565-2
19.
Hsieh, L.F., Huang, C.J. & Huang, C.L. 2007. Applying Particle Swarm
Optimization To Schedule Order Picking Routes In A Distribution Center.
Asian Journal of Management and Humanity Sciences . Vol. 1, No. 4. pp.
558-576.
20.
Hu,
21.
Isabella, L.S, Herry, C.P. 2010. Perbandingan Kombinasi Genetic Algorithm–
Simulated Annealing dengan Particle Swarm Optimization pada
Permasalahan Tata Letak Fasilitas. Jurnal Teknik Industri, Vol. 12, No. 2,
Desember 2010, 119-124. ISSN 1411-2485
X. H. 2002. PSO Tutorial. (diakses
http://www.swarmintelligence.org/tutorials.php).
Juni
2014
dari:
71
22.
Jain, A.D.S. & Chande, D.P. 2010. Formulation of Genetic Algorithm to Generate Good
Quality Course Timetable. International Journal of Innovation, Management and
Technology 1, 248-251.
23.
Jamnezhad, M.E., Javidan, R. & Dezfouli , M.A. 2011. Optimization of
timetabling structures based on evolutionary algorithms. 5th Symposium on
Advances in Science and Technology (5thsastech) Mashhad : Iran.
24.
Jatmiko,W., Febrian, A., Jovan, F., Suryana, M.E., Alvisalim, M.S. & Insani, A.
2010. Swarm Robot Dalam Pencarian Sumber Asap. Perpustakaan Nasional.
ISBN: 978-979-1421-08-9
25.
Kennedy, J. & Eberhart, R.C. 1995. Particle swarm optimization. In Proceedings
of the 1995 IEEE International Conference on Neural Networks. IEEE
Service Center, Piscataway.
26.
Liliana, D.Y. & Mahmudy, W.F. 2006. Penerapan Algoritma Genetika pada
Otomatisasi Penjadwalan Kuliah. FMIPA. Universitas Brawijaya: Malang.
27.
Mahmudy, W.F. 2006. Penerapan algoritma genetika pada optimasi model
penugasan. Natural. vol. 10, no. 3. pp. 197-207.
28.
Mahmudy, W.F. 2008a. Optimasi Multi Travelling Salesman Problem (M-TSP)
Dengan Algoritma Genetika. Seminar Nasional Basic Science V. FMIPA.
Universitas Brawijaya: Malang.
29.
Mahmudy, W.F & Rahman, M.A. 2011. Optimasi Fungsi Multi-Obyektif
Berkendala Menggunakan Algoritma Genetika Adaptif Dengan Pengkodean
Real. Kursor, vol. 6, no. 1, pp. 19-26.
30.
Mahmudy, W.F., Marian, R.M. & Luong, L.H.S. 2012a. Solving part type
selection and loading problem in flexible manufacturing system using real
coded genetic algorithms – Part II: optimization. International Conference
on Control, Automation and Robotics, Singapore, 12-14 September. World
Academy of Science. Engineering and Technology, pp. 706-710.
31.
Mahmudy, W.F. 2013. Optimisation of Integrated Multi-Period Production
Planning and Scheduling Problems in Flexible Manufacturing Systems
(FMS) Using Hybrid Genetic Algorithms. School of Engineering. University
of South Australia.
32.
Mahmudy, W.F., Marian, R.M. & Luong, L.H.S. 2013b. Hybrid Genetic
Algorithms For Multi-Period Part Type Selection And Machine Loading
Problems In Flexible Manufacturing System. IEEE International Conference
on Computational Intelligence and Cybernetics . Yogyakarta. Indonesia. 3-4
December. pp. 126-130.
33.
Mahmudy, W.F., Marian, R.M. & Luong, L.H.S. 2013d. Optimization Of Part
Type Selection And Loading Problem With Alternative Production Plans In
72
Flexible Manufacturing System Using Hybrid Genetic Algorithms – Part 2:
Genetic Operators & Results. 5th International Conference on Knowledge
and Smart Technology (KST), Chonburi, Thailand, 31 Jan - 1 Feb, pp. 81-85.
34.
Mahmudy, W.F., Marian, R.M. & Luong, L.H.S. 2013e. Real Coded Genetic
Algorithms For Solving Flexible Job-Shop Scheduling Problem – Part II:
Optimization. Advanced Materials Research, vol. 701, pp. 364-369.
35.
Marian, R.M. 2003. Optimisation Of Assembly Sequences Using Genetic
Algorithms. School of Advanced Manufacturing And Mechanical
Engineering. University of South Australia.
36.
Mawaddah, N.K. & Mahmudy, W.F. 2006. Optimasi Penjadwalan Ujian
Menggunakan Algoritma Genetika. Kursor. vol. 2. no. 2. pp. 1-8.
37.
Michalewicz, Z. 1996. Genetic Algorithms + Data Structures = Evolution
Programs, Springer-Verlag, Heidelberg.
38.
Oner, A., Ozcan,S. & Dengi, D. 2011. Optimization Of University Course
Scheduling Problem With A Hybrid Artificial Bee Colony Algorithm.
Evolutionary Computation (CEC). IEEE Congress on. 339-345.
39.
Pinedo, M. L. 2012. Scheduling: Theory, Algorithms, and Systems. New York:
Springer.
40.
Rahayuningsih, D.A. 2010. Lecturing Scheduling System at Informatic
Engineering Major Islamic University Syarif Hidayatullah Jakarta Using
Genetic Algorithm. Tesis: Jakarta
41.
Raisha A.R, Dadang Syarif & Rika P.S. 2012. Analisa dan Penerapan Metode
Particle Swarm Optimization Pada Optimasi Penjadwalan Kuliah, Jurnal
Teknik Informatika, Vol 1 September, Program Studi Teknik Informatika
Politeknik Caltex Riau: Pekanbaru.
42.
Rosca, Andrew. 2001. Room Scheduling Using a Genetic Algorithm. University
of Bridgeport.
43.
Schutte, J., & Groenwold, A. 2005. A study of global optimization using particle
swarms. Journal of Global Optimization, 31(1), 93-108.
44.
Shi, Y., & Eberhart, R.C. 1998. A Modified Particle Swarm Optimizer.
Proceedings of IEEE International Conference on Evolutionary
Computation, Anchorage, Alaska: USA.
45.
Simamora, P. 2013. Penjadwalan Kuliah dengan Menggunakan Algoritma
Genetika Studi Kasus Fakultas Teknik Universitas Sumatera Utara. Tesis. FT
USU.
46.
Suyanto. 2005. Algoritma Genetika Dalam Matlab. Yogyakarta: Andi offset.
73
47.
Wati, Dwi Ana Ratna, 2011. Sistem Kendali Cerdas: Bandung
48.
Widodo, AW. & Mahmudy, WF. 2010. Penerapan algoritma genetika pada sistem
rekomendasi wisata kuliner. Kursor. vol. 5. no. 4. pp. 205-211.
49.
Xia, W. & Wu, Z. 2006. A Hybrid Particle Swarm Optimization Approach For
The Jobshop Scheduling Problem. International Journal of Advanced
Manufacturing Technology. 360366.
50.
Yogeswaran, M, Ponnambalam, SG & Tiwari, MK. 2009. An Efficient Hybrid
Evolutionary Heuristic Using Genetic Algorithm And Simulated Annealing
Algorithm To Solve Machine Loading Problem In FMS. International
Journal of Production Research, vol. 47, no. 19, pp. 5421-5448.
51.
Yu, J. 2006. Scheduling Of An Assembly Line With A Multi-Objective Genetic
Algorithm. International Journal of Advanced Manufacturing Technology.
551-555.