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Hasil Pencarian

 
Ditemukan 5 dokumen yang sesuai dengan query
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Amsterdam: Elsevier , 2012
519 MET
Buku Teks  Universitas Indonesia Library
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Muhamad Emir Faysal Dacini Hidayatullah, author
Sistem manufaktur telah mengalami kemajuan menuju personalisasi massal dalam konteks Industri 4.0, yang memiliki implikasi besar terhadap efisiensi produksi dan kepuasan konsumen. Tujuan dari penelitian ini adalah untuk menentukan metaheuristik mana yang paling berhasil untuk mengatasi masalah penjadwalan job shop umum antara Genetic Algorithm (GA), Particle Swarm Optimization (PSO), dan...
Depok: Fakultas Teknik Universitas Indonesia, 2024
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UI - Skripsi Membership  Universitas Indonesia Library
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Echevarria, Lidice Camps, author
This book presents a methodology based on inverse problems for use in solutions for fault diagnosis in control systems, combining tools from mathematics, physics, computational and mathematical modeling, optimization and computational intelligence. This methodology, known as fault diagnosis – inverse problem methodology or FD-IPM, unifies the results of several years...
Switzerland: Springer Cham, 2019
e20501168
eBooks  Universitas Indonesia Library
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Kaveh, Ali, author
The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework. Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar...
Switzerland: Springer Nature, 2019
e20509237
eBooks  Universitas Indonesia Library
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This book contains thirty-five selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2017). This was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in...
Switzerland: Springer Cham, 2019
e20502586
eBooks  Universitas Indonesia Library