K-DSA for the Multiple Traveling Salesman Problem
Sheng Tong, Hong Qu, Junjie Xue
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A hybrid genetic algorithm for the min–max Multiple Traveling Salesman Problem
This paper proposes a hybrid genetic algorithm for solving the Multiple Traveling Salesman Problem (mTSP) to minimize the length of the longest tour. The genetic algorithm utilizes a TSP sequence as the representation of each individual, and a dynamic programming algorithm is employed to evaluate the individual and find the optimal mTSP solution for ...
Sasan Mahmoudinazlou, Changhyun Kwon
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QUANTUM INSPIRED EVOLUTIONARY ALGORITHM FOR SOLVING MULTIPLE TRAVELLING SALESMAN PROBLEM
Quantum computing is a relatively new but very promising field of computer science. It provides an alternative way of building computers which are significantly better than current day’s classical computers. Here in this paper, we attempt to develop an algorithm which makes use of the concepts of quantum computers but are actually run on classical ...
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Algorithm for DNA sequence assembly by quantum annealing. [PDF]
Nałęcz-Charkiewicz K, Nowak RM.
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A Goal-Directed Trajectory Planning Using Active Inference in UAV-Assisted Wireless Networks. [PDF]
Krayani A +4 more
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Clustering-Based Optimisation of Multiple Traveling Salesman Problem
Agárdi, Anita, Kovács, László
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A Bi-level Approach for a Dynamic Multiple Traveling Salesman Problem
Abstract In this paper, we consider a routing problem with multiple dynamic targets and agents starting from a depot for which only the trajectories of the targets and depot are known. The objective is that each target is reached by exactly one agent and that all agents return to the depot in the minimum amount of time.
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The Economy of Motion for Laparoscopic Ball Clamping Surgery: A Feedback Educational Tool. [PDF]
Shbool MA +5 more
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Data Collection in an IoT Off-Grid Environment Systematic Mapping of Literature. [PDF]
Goulart A, Pinto ASR, Boava A, Branco K.
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Quantum computing for transport network design problems. [PDF]
Dixit VV, Niu C.
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