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Published in 2018 at "Networks"
DOI: 10.1002/net.21864
Abstract: A promising new delivery model involves the use of a delivery truck that collaborates with a drone to make deliveries. Effectively combining a truck and a drone gives rise to a new planning problem that…
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Keywords:
drone;
salesman problem;
traveling salesman;
problem drone ... See more keywords
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1
Published in 2021 at "Networks"
DOI: 10.1002/net.22022
Abstract: This article considers a version of the flying sidekick traveling salesman problem in which parcels are delivered to customers by either a truck or a set of identical flying drones. The flights of the drones…
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Keywords:
sidekick traveling;
problem;
traveling salesman;
salesman problem ... See more keywords
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2
Published in 2022 at "Networks"
DOI: 10.1002/net.22096
Abstract: In the Pickup‐and‐Delivery Traveling Salesman Problem with Handling Costs (PDTSPH), a single vehicle has to satisfy multiple customer requests, each defined by a pickup location and a delivery location. Cargo handling is performed at the…
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Keywords:
pickup delivery;
salesman problem;
delivery traveling;
traveling salesman ... See more keywords
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Published in 2022 at "Networks"
DOI: 10.1002/net.22125
Abstract: In this article, we study the multi‐depot family traveling salesman problem (MDFTSP) and two clustered variants, the soft‐clustered MDFTSP (SC‐MDFTSP) and the hard‐clustered MDFTSP. We emphasize the relevance of this study by relating the problems…
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Keywords:
clustered variants;
multi depot;
family traveling;
depot family ... See more keywords
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Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2735-z
Abstract: Most of the meta-heuristic algorithms are based on the natural processes. They were inspired by physical, biological, social, chemical, social–biological, biological–geography, music, and hybrid processes. In this paper, artificial atom algorithm which was inspired by…
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Keywords:
artificial atom;
traveling salesman;
applications artificial;
atom algorithm ... See more keywords
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Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3176-4
Abstract: This paper deals with the spherical traveling salesman problem. In this problem, all cities are located on the surface of a sphere and the cities must be visited exactly once in a tour. We propose…
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Keywords:
salesman problem;
traveling salesman;
flower pollination;
spherical traveling ... See more keywords
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Published in 2020 at "Annals of Operations Research"
DOI: 10.1007/s10479-020-03789-0
Abstract: This article addresses the one-commodity pickup and delivery traveling salesman problem (1-PDTSP), which is a generalization of the well-known traveling salesman problem. The 1-PDTSP aims to find a Hamiltonian tour in which a set of…
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Keywords:
salesman problem;
problem;
delivery;
one commodity ... See more keywords
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Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01713-4
Abstract: Using the concept of swap operation and swap sequence on the sequence of paths of a Traveling Salesman Problem(TSP) Artificial Bee Colony (ABC) algorithm is modified to solve multi-objective TSP. The fitness of a solution…
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Keywords:
solution set;
multi objective;
traveling salesman;
solution ... See more keywords
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1
Published in 2017 at "Journal of Combinatorial Optimization"
DOI: 10.1007/s10878-017-0119-z
Abstract: We introduce the traveling salesman problem with forbidden neighborhoods (TSPFN). This is an extension of the Euclidean TSP in the plane where direct connections between points that are too close are forbidden. The TSPFN is…
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Keywords:
salesman problem;
forbidden neighborhoods;
problem grids;
traveling salesman ... See more keywords
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Published in 2020 at "Optimization Letters"
DOI: 10.1007/s11590-019-01429-6
Abstract: In the profitable tour problem, the carrier decides whether to visit a particular customer with respect to the prize the customer offers for being visited and traveling cost associated with the visit, all in the…
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Keywords:
cooperation customers;
customers traveling;
salesman problems;
problems profits ... See more keywords
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Published in 2019 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-018-0169-x
Abstract: Combinatorial optimization focuses on arriving at a globally optimal solution given constraints, incomplete information and limited computational resources. The combination of possible solutions are rather vast and often overwhelms the limited computational power. Smart algorithms…
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Keywords:
optimization;
salesman problem;
randomized incremental;
construction technique ... See more keywords