An Optimized <i>K</i>-Harmonic Means Algorithm Combined with Modified Particle Swarm Optimization and Cuckoo Search Algorithm

Bouyer, Asgarali; Farajzadeh, Nacer

doi:10.1515/jisys-2015-0009

Cited by 3 publications

(2 citation statements)

References 44 publications

(49 reference statements)

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“…Gulcu dan Akan [13] mengembangkan algoritma Simulasi Annealing untuk menghasilkan jadwal sedemikian hingga jika terjadi perubahan data, maka perubahan yang perlu dilakukan pada jadwal awal adalah seminimal mungkin. Pendekatan hibrid heuristik saat ini banyak digunakan oleh peneliti untuk menjadwalkan mata kuliah karena dianggap memberikan hasil yang lebih baik [20]- [22]. Babaei dkk.…”

Section: Pendahuluanunclassified

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Arwoko

Juwono

2022

JKT

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Selama ini, penelitian terkait dengan penjawalan mata kuliah hanya dilakukan dengan mempertimbangkan sisi institusi. Namun, biasanya mahasiswa memiliki pertimbangan lain, seperti kegiatan rutin di luar kuliah, waktu perkuliahan, hari libur kuliah, dan jeda waktu tunggu antar mata kuliah. Kondisi ini tidak pernah dipertimbangkan dalam penelitian yang ada. Penelitian yang dilakukan bertujuan untuk mengembangkan sebuah sistem rekomendasi dengan menggunakan gabungan antara metode Depth First Search dan Simple Multi Attribute Ranking Technique. Metode Depth First Search digunakan untuk mencari semua kemungkinan alternatif jadwal. Semua alternatif jadwal yang didapatkan akan digunakan untuk menentukan jadwal yang paling sesuai dengan preferensi mahasiswa menggunakan metode Simple Multi Attribute Ranking Technique. Kinerja dari sistem dievaluasi melalui simulasi untuk mendapatkan rekomendasi jadwal mata kuliah bagi 28 mahasiswa. Hasil simulasi kemudian dibandingkan dengan jadwal ideal yang diinginkan oleh mahasiswa dan jadwal mata kuliah yang riil dijalani mahasiswa. Akurasi dari jadwal yang direkomendasikan terhadap jadwal ideal yang diinginkan mahasiswa mencapai 70,8% dengan rata-rata waktu untuk menghasilkan jadwal yang direkomendasikan adalah 1,05 detik. Akurasi jadwal yang direkomendasikan meningkat menjadi sekitar 91% jika dibandingkan dengan jadwal mata kuliah yang riil dijalani oleh mahasiswa yang bersangkutan. Jadi dapat disimpulkan bahwa penelitian yang dilakukan dapat membantu merekomendasikan jadwal kuliah mingguan mahasiswa secara riil.

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Section: Pendahuluanunclassified

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Limanto

Arwoko

Juwono

2022

JKT

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“…The solution ought towards upgrade an agreed objective function otherwise a bunch of objective functions if there should be an occurrence of multi-optimization in as much as the coordinated constraints are nurtured. Nowadays, algorithms have pulled in research consideration because of speedy upgrade of hardware speed and enhanced attainability into giving an answer for many engineering problems [14][15][16]. This is refined by sticking to the heuristic examining conceptualization with a simple constraints and objective design.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Black Hole Algorithm with Genetic Algorithm for Solving Data Clustering Problems

Taloba¹

2021

TURCOMAT

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Clustering is a process of randomly selecting k-cluster centers also grouping the data around those centers. Issues of data clustering have recently received research attention and as such, a nature-based optimization algorithm called Black Hole (BH) has said to be suggested as an arrangement to data clustering issues. The BH as a metaheuristic which is elicited from public duplicates the black hole event in the universe, whereas circling arrangement in the hunt space addresses a solo star. Even though primordial BH has shown enhanced execution taking place standard datasets, it doesn't have investigation capacities yet plays out a fine local search. In this paper, another crossover metaheuristic reliant on the mix of BH algorithm as well as genetic algorithm suggested. Genetic algorithm represents its first part of the algorithm which prospects the search space and provides the initial positions for the stars. Then, the BH algorithm utilizes the search space and finds the best solution until the termination condition is reached. The proposed hybrid approach was estimated on synchronized nine popular standard functions where the outcomes indicated that the process generated enhanced outcome with regard to robustness compared to BH and the benchmarking algorithms in the study. Furthermore, it also revealed a high convergence rate which used six real datasets sourced of the UCI machine learning laboratory, indicating fine conduct of the hybrid algorithm on data clustering problems. Conclusively, the investigation showed the suitability of the suggested hybrid algorithm designed for resolving data clustering issues.

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Alternated Superior Chaotic Biogeography-Based Algorithm for Optimization Problems

Kumar

Rani

2022

International Journal of Applied Metaheuristic Computing

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In this study, we consider a switching strategy that yields a stable desirable dynamic behaviour when it is applied alternatively between two undesirable dynamical systems. From the last few years, dynamical systems employed “chaos1 + chaos2 = order” and “order1 + order2 = chaos” (vice-versa) to control and anti control of chaotic situations. To find parameter values for these kind of alternating situations, comparison is being made between bifurcation diagrams of a map and its alternate version, which, on their own, means independent of one another, yield chaotic orbits. However, the parameter values yield a stable periodic orbit, when alternating strategy is employed upon them. It is interesting to note that we look for stabilization of chaotic trajectories in nonlinear dynamics, with the assumption that such chaotic behaviour is not desirable for a particular situation. The method described in this paper is based on the Parrondo’s paradox, where two losing games can be alternated, yielding a winning game, in a superior orbit.

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An Optimized K-Harmonic Means Algorithm Combined with Modified Particle Swarm Optimization and Cuckoo Search Algorithm

Cited by 3 publications

References 44 publications

Recommendation System for Collegian Student's Weekly Course Schedule

Recommendation System for Collegian Student's Weekly Course Schedule

A Hybrid Black Hole Algorithm with Genetic Algorithm for Solving Data Clustering Problems

Alternated Superior Chaotic Biogeography-Based Algorithm for Optimization Problems

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