International audienceThis paper presents an evaluation operator for single-trip vehicle routing problems where it is not necessary to visit all the nodes. Such problems are known as Tour Location Problems. The operator, called Selector, is a dynamic programming algorithm that converts a given sequence of nodes into a feasible tour. The operator returns a subsequence of this giant tour which is optimal in terms of length. The procedure is implemented in an adaptive large neighborhood search to solve a specific tour location problem: the Covering Tour Problem. This problem consists in finding a lowest-cost Hamiltonian cycle over a subset of nodes such that nodes outside the tour are within a given distance from a visited node. The metaheuris...
AbstractProblems associated with determining optimal routes from one or several depots (origin, home...
Traditional solving techniques for the traveling salesman problem are carried out in two phases. Fir...
Most solution methods for solving large vehicle routing and scheduling problems are based on local s...
International audienceThis paper presents an evaluation operator for single-trip vehicle routing pro...
International audienceThe Covering Tour Problem finds application in distribution network design. It...
International audienceThis article proposes a mathematical model and a branch‐and‐price algorithm fo...
International audienceThe multi-vehicle covering tour (m-CTP) involves finding a minimum-length set ...
This research studies the feasibility of applying heuristic learning algorithm in artificial intelli...
This paper presents a Greedy Randomized Adaptive Search Procedure (GRASP) for the Prize-Collecting C...
In this work we deal with a generalized variant of the multi-vehicle covering tour problem (m-CTP). ...
none3siWe propose a generalization of the multi-depot capacitated vehicle routing problem where the ...
The planning of itineraries for tourist cruises is a complex process where several features, such as...
Imagine you have traveled to an unfamiliar city. Before you start your daily tour around the city, y...
Formally, the Team Orienteering Problem with Hotel Selection (TOPHS) can be stated as follows: a set...
For a given graph (network) having costs [cij] associated with its links, the present paper examines...
AbstractProblems associated with determining optimal routes from one or several depots (origin, home...
Traditional solving techniques for the traveling salesman problem are carried out in two phases. Fir...
Most solution methods for solving large vehicle routing and scheduling problems are based on local s...
International audienceThis paper presents an evaluation operator for single-trip vehicle routing pro...
International audienceThe Covering Tour Problem finds application in distribution network design. It...
International audienceThis article proposes a mathematical model and a branch‐and‐price algorithm fo...
International audienceThe multi-vehicle covering tour (m-CTP) involves finding a minimum-length set ...
This research studies the feasibility of applying heuristic learning algorithm in artificial intelli...
This paper presents a Greedy Randomized Adaptive Search Procedure (GRASP) for the Prize-Collecting C...
In this work we deal with a generalized variant of the multi-vehicle covering tour problem (m-CTP). ...
none3siWe propose a generalization of the multi-depot capacitated vehicle routing problem where the ...
The planning of itineraries for tourist cruises is a complex process where several features, such as...
Imagine you have traveled to an unfamiliar city. Before you start your daily tour around the city, y...
Formally, the Team Orienteering Problem with Hotel Selection (TOPHS) can be stated as follows: a set...
For a given graph (network) having costs [cij] associated with its links, the present paper examines...
AbstractProblems associated with determining optimal routes from one or several depots (origin, home...
Traditional solving techniques for the traveling salesman problem are carried out in two phases. Fir...
Most solution methods for solving large vehicle routing and scheduling problems are based on local s...