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primary topic: IMPLEMENTASI HYBRID PARTICLE SWARM OPTIMIZATION DAN CUCKOO SEARCH ALGORITHM (HPSO-CSA) PADA PENYELESAIAN UNCAPACITATED FACILITY LOCATION PROBLEM

IMPLEMENTASI HYBRID PARTICLE SWARM OPTIMIZATION DAN CUCKOO SEARCH ALGORITHM (HPSO-CSA) PADA PENYELESAIAN UNCAPACITATED FACILITY LOCATION PROBLEM
type: Thesis
type: Article
abstract: Uncapacitated Facility Location Problem (UFLP) merupakan permasalahan penentuan lokasi pembangunan fasilitas untuk melayani sejumlah pelanggan tanpa batasan kapasitas. Tujuan utama dari UFLP adalah meminimumkan total biaya, yang terdiri atas biaya pembangunan fasilitas dan biaya pelayanan pelanggan. UFLP termasuk dalam kategori masalah kombinatorial yang sulit diselesaikan dengan metode eksak karena kompleksitas komputasinya. Penelitian ini mengusulkan pendekatan hybrid CSA dan PSO (HPSO-CSA) untuk menggabungkan kelebihan keduanya. CSA digunakan untuk menentukan solusi awal yang selanjutnya solusi tersebut akan digunakan sebagai partikel awal dalam PSO. Optimisasi dilanjutkan hingga solusi optimal ditemukan. Hasil pengujian menunjukkan bahwa pendekatan HPSO-CSA mampu menghasilkan solusi optimal secara efisien pada data berukuran kecil hingga menengah. Sementara pada data berukuran besar, selisih rata-rata cost yang dihasilkan algoritma hibrid dan CSA mulai mengecil. Meskipun demikian, Algoritma HPSO-CSA tetap kompetitif dengan menghasilkan rata-rata cost yang lebih kecil dari algoritma penyusunnya. Uncapacitated Facility Location Problem (UFLP) is a problem of determining the location of facility construction to serve a number of customers without capacity constraints. The main objective of UFLP is to minimize the total cost, which consists of facility construction cost and customer service cost. UFLP belongs to the category of combinatorial problems that are difficult to solve by exact methods due to its computational complexity. This study proposes a hybrid CSA and PSO (HPSO-CSA) approach to combine the advantages of both. CSA is used to determine the initial solution which will then be used as the initial particle in PSO. Optimization is continued until the optimal solution is found. The test results show that the HPSO-CSA approach is able to produce optimal solutions efficiently on small to medium sized data. While on large data, the difference in average cost g…
date: 2025-04-23
status: published
author list: authors
type: EPrint
type: ThesisEPrint
is part of: repository
has document: IMPLEMENTASI HYBRID PARTICLE SWARM OPTIMIZATION DAN CUCKOO SEARCH ALGORITHM (HPSO-CSA) PADA PENYELESAIAN UNCAPACITATED FACILITY LOCATION PROBLEM (Text)
subject: Q Science (General)
subject: QA Mathematics

IMPLEMENTASI HYBRID PARTICLE SWARM OPTIMIZATION DAN CUCKOO SEARCH ALGORITHM (HPSO-CSA) PADA PENYELESAIAN UNCAPACITATED FACILITY LOCATION PROBLEM (Text)
type: Document
has file: S_MAT_2103873_Title.pdf
has part: S_MAT_2103873_Title.pdf

IMPLEMENTASI HYBRID PARTICLE SWARM OPTIMIZATION DAN CUCKOO SEARCH ALGORITHM (HPSO-CSA) PADA PENYELESAIAN UNCAPACITATED FACILITY LOCATION PROBLEM (Text)
type: Document
has file: S_MAT_2103873_Chapter1.pdf
has part: S_MAT_2103873_Chapter1.pdf

IMPLEMENTASI HYBRID PARTICLE SWARM OPTIMIZATION DAN CUCKOO SEARCH ALGORITHM (HPSO-CSA) PADA PENYELESAIAN UNCAPACITATED FACILITY LOCATION PROBLEM (Text)
type: Document

IMPLEMENTASI HYBRID PARTICLE SWARM OPTIMIZATION DAN CUCKOO SEARCH ALGORITHM (HPSO-CSA) PADA PENYELESAIAN UNCAPACITATED FACILITY LOCATION PROBLEM (Text)
type: Document
has file: S_MAT_2103873_Chapter3.pdf
has part: S_MAT_2103873_Chapter3.pdf

IMPLEMENTASI HYBRID PARTICLE SWARM OPTIMIZATION DAN CUCKOO SEARCH ALGORITHM (HPSO-CSA) PADA PENYELESAIAN UNCAPACITATED FACILITY LOCATION PROBLEM (Text)
type: Document

IMPLEMENTASI HYBRID PARTICLE SWARM OPTIMIZATION DAN CUCKOO SEARCH ALGORITHM (HPSO-CSA) PADA PENYELESAIAN UNCAPACITATED FACILITY LOCATION PROBLEM (Text)
type: Document
has file: S_MAT_2103873_Chapter5.pdf
has part: S_MAT_2103873_Chapter5.pdf

IMPLEMENTASI HYBRID PARTICLE SWARM OPTIMIZATION DAN CUCKOO SEARCH ALGORITHM (HPSO-CSA) PADA PENYELESAIAN UNCAPACITATED FACILITY LOCATION PROBLEM (Text)
type: Document

Universitas Pendidikan Indonesia
type: Organization

KODEPRODI44201#Matematika_S1, Universitas Pendidikan Indonesia
type: Organization

- Endang Cahya Mulyaning A
type: Person
given name: -
family name: Endang Cahya Mulyaning A

- Salma Septiani Rahman
type: Person
given name: -
family name: Salma Septiani Rahman

- Khusnul Novianingsih
type: Person
given name: -
family name: Khusnul Novianingsih

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primary topic: IMPLEMENTASI HYBRID PARTICLE SWARM OPTIMIZATION DAN CUCKOO SEARCH ALGORITHM (HPSO-CSA) PADA PENYELESAIAN UNCAPACITATED FACILITY LOCATION PROBLEM

Q Science (General)
type: Concept

QA Mathematics
type: Concept