Pengembangan Metode Ant Colony Optimization Dan Tabu Search Untuk Menyelesaikan Vehicle Routing Problem With Time Windows
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The research attempts to compare the methods of multi-item batch scheduling to the combination of tabu search and proposed ant colony algorithm (PACO-TABU) to
Vehicle routing problem (VRP) adalah combinatorial optimization dan integer programming problem yang sering digunakan dalam banyak perencanaan dan proses pengambil
“PERENCANAAN RUTE DISTRIBUSI DALAM PERSOALAN VEHICLE ROUTING PROBLEM WITH SIMULTANEOUS PICK UP AND DELIVERY MENGGUNAKAN ALGORITMA TABU SEARCH”.. Shalawat serta
routing transpor Dror and Trudeu [6], lagrangian duality applied to the vehicle routing problems with time windows Kallehauge [5], vehicle routing problem split delivery Archetti
Vehicle Routing Problem with Time Windows (VRPTW) adalah masalah penentuan rute kendaraan dalam pendistribusian barang/jasa ke sejumlah pelanggan yang memiliki biaya minimum
Dalam penelitian ini, metode yang digunakan sebagai usulan untuk pemecahan masalah adalah Ant Colony Optimization (ACO) yaitu metode yang meniru sekawanan semut yang
In ant colony optimization ACO, a set of software agents called "artificial ants" search for good solutions to a given optimization problem transformed into the problem of finding
Comparison Study of Neighborhood Structures in Local Search for Vehicle Routing Problem with Multiple Trips and Time Windows Saskia Puspa Kenaka1*, Suprayogi1 Abstract: This paper
