A genetic algorithm is utilized to determine the location and the optimal sequence. Creating an artificial intelligence for the company in determining the location and the optimal sequence of delivering goods is the main objective of this research. This problem is considered important since the optimal sequence can cut off operational cost. This problem is often referred as travelling salesman problem. In this research, the problem is taken from a sales division in a company in determining the optimal sequence when delivering goods into nine cities. Supply chain management plays an important role in enhancing the efficiency and effectiveness of manufacturing industry business process. Pemodelan Penjadwalan Perawat Menggunakan Nonpreemptive Goal Programming: Studi Kasus di Rumah Sakit Permata Bekasi. Belajar Algoritma genetika Untuk Penjadwalan - Contoh Program + Source Code. Kalin, Java Web Service: Up and Running, Sebastopol: O'Reilly Media. Aplikasi Penjadwalan Sidang di Fakultas Teknologi Informasi UK. Untuk penjelasan lebih lengkap tentang metode swap dan crossover serta program. APLIKASI SEDERHANA ALGORITMA GENETIKA TSP DENGAN JAVA. While for processing the data and concluding the result, researcher designed a Java-based application that provides the capability of automatic computing. Para Que No Me Olvides Marcela Serrano Libro Completo Pdf.
Save the date! Is coming to Mountain View, CA on November 7-8, 2018. JASA PEMBUATAN TESIS SKRIPSI TA INFORMATIKA Belajar Algoritma genetika Untuk Penjadwalan - Contoh Program + Source Code, Source Code Belajar Algoritma genetika Untuk Penjadwalan - Contoh Program + Source Code, Gratis download Belajar Algoritma genetika Untuk Penjadwalan - Contoh Program + Source Code, C# Java Visual Basic VB C++ Matlab PHP.
0 kommentar(er)
