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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In the fields such as intelligent transport and multiple tasks cooperation, the model scale constructed by colored bottleneck traveling salesman problem (CBTSP) tends to large scale, and therefore it is necessary to study the large scale CBTSP and its ...
Wenyong DONG, Xueshi DONG, Yufeng WANG
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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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Information Bottleneck-Enhanced Reinforcement Learning for Solving Operation Research Problems. [PDF]
Xi R, Ni Y, Wu W.
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Probabilistic greedy algorithm solver using magnetic tunneling junctions for traveling salesman problem. [PDF]
Zhang R +17 more
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Employing in-context learning prompts with large language models for drone routing in delivery services. [PDF]
Masoud M, Elhenawy M, Abdelhay A.
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Efficient bit labeling in factorization machines with annealing for traveling salesman problem. [PDF]
Koshikawa S, Hosaka A, Yoshida T.
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MCAH-ACO: A Multi-Criteria Adaptive Hybrid Ant Colony Optimization for Last-Mile Delivery Vehicle Routing. [PDF]
Chu DT, Cheng XY, Bai LY, Ling HF.
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A carbon aware ant colony system for the sustainable generalized traveling salesman problem. [PDF]
Lin M, Schaposnik LP.
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