Results 101 to 110 of about 2,383 (189)

AutoRL-Sim: Automated Reinforcement Learning Simulator for Combinatorial Optimization Problems

open access: yesModelling
Reinforcement learning is a crucial area of machine learning, with a wide range of applications. To conduct experiments in this research field, it is necessary to define the algorithms and parameters to be applied.
Gleice Kelly Barbosa Souza   +1 more
doaj   +1 more source

Improved artificial bee colony algorithm for large scale colored bottleneck traveling salesman problem

open access: yesTongxin xuebao, 2018
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
doaj   +2 more sources

A probabilistic traveling salesman problem: a survey [PDF]

open access: yesAnnals of computer science and information systems, 2014
Abir Henchiri   +2 more
doaj   +1 more source

Probabilistic greedy algorithm solver using magnetic tunneling junctions for traveling salesman problem. [PDF]

open access: yesNat Commun
Zhang R   +17 more
europepmc   +1 more source

Genetic codes optimized as a traveling salesman problem. [PDF]

open access: yesPLoS One, 2019
Attie O, Sulkow B, Di C, Qiu W.
europepmc   +1 more source

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