Results 31 to 40 of about 863 (188)

Penyelesaian Travelling Salesman Problem (TSP) Menggunakan Algoritma Hill Climbing dan MATLAB

open access: yesMatematika, 2018
Abstrak. Travelling Salesman Problem (TSP) adalah permasalahan dimana seorang salesman harus mengunjungi semua kota yang mana tiap kota hanya dikunjungi sekali, dan harus kembali ke kota asal.
Muhammad Irfan
doaj   +1 more source

The geometric maximum traveling salesman problem [PDF]

open access: yesJournal of the ACM, 2003
We consider the traveling salesman problem when the cities are points in ℝ d for some fixed d and distances are computed according to geometric distances, determined by some norm.
Barvinok, A.   +5 more
openaire   +4 more sources

Solving open travelling salesman subset-tour problem through a hybrid genetic algorithm [PDF]

open access: yesJournal of Project Management, 2021
In open travelling salesman subset-tour problem (OTSSP), the salesman needs to traverse a set of k (≤n) out of n cities and after visiting the last city, the salesman does not necessarily return to the central depot.
Singamsetty, Purusotham   +2 more
doaj   +1 more source

Solving the Travelling Salesman Problem by Using Artificial Bee Colony Algorithm

open access: yesJournal of Computing Research and Innovation, 2022
Travelling Salesman Problem (TSP) is a list of cities that must visit all cities that start and end in the same city to find the minimum cost of time or distance. The Artificial Bee Colony (ABC) algorithm was used in this study to resolve the TSP.
Siti Hafawati Jamaluddin   +3 more
doaj   +3 more sources

An effective method for solving multiple travelling salesman problem based on NSGA-II

open access: yesSystems Science & Control Engineering, 2019
In this paper, an effective multi-objective evolutionary algorithm is proposed to solve the multiple travelling salesman problem. In order to obtain minimum total visited distance and minimum range between all salesmen, some novel representation ...
Yang Shuai, Shao Yunfeng, Zhang Kai
doaj   +1 more source

Solving multiple travelling salesman problem through deep convolutional neural network

open access: yesIET Cyber-systems and Robotics, 2023
The multiple travelling salesman problem (mTSP) is a classical optimisation problem that is widely applied in various fields. Although the mTSP was solved using both classical algorithms and artificial neural networks, reiteration is inevitable for these
Zhengxuan Ling, Yueling Zhou, Yu Zhang
doaj   +1 more source

Robot Path Planning Based On The Travelling Salesman Problem

open access: yesChemical Engineering Transactions, 2015
Against the background of "Robot Travelling China" competition, this paper introduces the idea of TSP to seek optimal motion path. Applying the knowledge of graph theory to analyze and transform the map of competition.
G.Q. Wang   +4 more
doaj   +1 more source

Optimizing Cycle Time of Industrial Robotic Tasks with Multiple Feasible Configurations at the Working Points

open access: yesRobotics, 2022
Industrial robot applications should be designed to allow the robot to provide the best performance for increasing throughput. In this regard, both trajectory and task order optimization are crucial, since they can heavily impact cycle time. Moreover, it
Matteo Bottin   +2 more
doaj   +1 more source

Large‐Scale and Highly Reliable Hopfield Neural Networks Using Vertical NAND Flash Memory for the In‐Memory Associative Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang   +4 more
wiley   +1 more source

Engineering Binary Metal Oxide Nano‐Oscillators for Deterministic and Probabilistic Computing: From Material Physics to Emerging Paradigms

open access: yesAdvanced Physics Research, EarlyView.
This study demonstrates a versatile hardware platform using nano‐oscillators based on binary oxides for deterministic and probabilistic computing. By tailoring material physics, NbOx enables energy‐efficient synchronization for pattern recognition, while enhanced stochasticity in engineered SiOx provides robust entropy for p‐bits to solve complex ...
Jihyun Kim   +3 more
wiley   +1 more source

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