2014
DOI: 10.1016/j.asoc.2013.08.015
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A multi-objective dynamic vehicle routing problem with fuzzy time windows: Model, solution and application

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Cited by 134 publications
(62 citation statements)
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“…SD Proposition 2: Nonlinear Constraint Set (13) is equivalent to the following linear Constraint Sets (27) and (28).…”
Section: Linearization Of the Nonlinear Constraint Setsmentioning
confidence: 99%
See 1 more Smart Citation
“…SD Proposition 2: Nonlinear Constraint Set (13) is equivalent to the following linear Constraint Sets (27) and (28).…”
Section: Linearization Of the Nonlinear Constraint Setsmentioning
confidence: 99%
“…Hence, we can use trapezoidal fuzzy numbers to represent the due date, and further measure the customer satisfaction quantitatively using the fuzzy membership function [27,28]. For commodity k, its due date is defined as:…”
Section: Fuzzy Soft Time Windowmentioning
confidence: 99%
“… Time or distance constraints  Time windows  Precedence relations between pairs of locations The objective of VRP is generally to design a set of minimum cost routes that serve a number of places. Since its first formulation in 1959, in the literature, there have been many studies (Ghannadpour, Noori, T.-Moghaddam and Ghoseiri, 2014). Lenstra and Rinnooy Kan (in 1981) have analyzed the complexity of the vehicle routing problem and they have concluded that practically all the vehicle routing problems are NP-hard because they are not solved in polynomial time.…”
Section: Introductionmentioning
confidence: 99%
“…In dynamic optimization problems, the optimum during dynamic changes is to be tracked [6,19,24,26]. Meta-Heuristic methods such as Variable Neighborhood Search, Genetic Algorithm, Artificial Bee Colony and Particle Swarm Optimization were intensively experimented in the past years to solve dynamic optimization problems [6,7,8,12,27,29,33].…”
Section: Introductionmentioning
confidence: 99%