[PDF] Top 20 A new exact algorithm for the multi-depot vehicle routing problem under capacity and route length constraints
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A new exact algorithm for the multi-depot vehicle routing problem under capacity and route length constraints
... an exact algorithm for the multi-depot vehicle routing problem (MDVRP) under capacity and route length ...a vehicle-flow and a ... See full document
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A Node-based Mathematical Model towards the Location Routing Problem with Intermediate Replenishment Facilities under Capacity Constraint
... location routing problem with intermediate replenishment facilities (LRPIRF), an extension of the location routing problem (LRP), where the vehicles can replenish at some intermediate ...the ... See full document
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A hybrid algorithm for the multi-depot vehicle scheduling problem arising in public transportation Pages 361-374 Download PDF
... a new version of the problem – denoted as VSP with Route and Fueling Time Constraints (VSPRFTC) – was presented in which they consider electric ...two new constraints: the ... See full document
14
Solving a Bi-Objective Multi-Product Vehicle Routing Problem with Heterogeneous Fleets under an Uncertainty Condition
... the vehicle, fuel consumption and shortage as the first objective function and minimizing the shortage of products ...one route. Eq. (4) guarantees whether vehicle v enter in node c, it should leave ... See full document
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A generalized multi-depot vehicle routing problem with replenishment based on LocalSolver Pages 81-98 Download PDF
... the route of a vehicle could be composed of multiple stops at intermediate depots in order for the vehicle to be ...central depot, the one each vehicle starts from and ends at, are set ... See full document
18
An Evolutionary Algorithm For The Autonomous Vehicle Routing Problem Under Emergency Evacuation
... In New Orleans, over 1,400 people were killed during Hurricane Katrina, mostly due to lack of efficient transportation and proper emergency evacuation planning ...the New Orleans region and dispatch systems ... See full document
7
Enhancement of Firefly Technique for Effective Optimization of Multi Depot Vehicle Routing
... The routing process is considered when the route duration and vehicle capacity conditions are not violated while appending the customer to the present route and it is sustained till ... See full document
8
Distributed Multi-ant Algorithm for Capacity Vehicle Route Problem
... A multi-objective evolutionary algorithm is used for CVRP (Borgulya Istvan, ...solved vehicle routing problem, minimized transportation cost and recombined a new problem ... See full document
8
EODVGA: An Enhanced ODV Based Genetic Algorithm for Multi-Depot Vehicle Routing Problem
... Genetic Algorithm (GA) is one of the methods of Meta- heuristic ...Meta-heuristic algorithm finds solutions in less computational time for routing ...Search Algorithm for the Multi ... See full document
7
A GRASP Algorithm Based on New Randomized Heuristic for Vehicle Routing Problem
... The Vehicle Routing Problem ( VRP ) , proposed by Dantzig and Ramser [ 1 ] , is an important re- search area in operation search given its impor- tance in logistic ...Capacitated Vehicle ... See full document
12
A metaheuristic algorithm for the multi-depot vehicle routing problem with heterogeneous fleet Pages 461-478 Download PDF
... The Vehicle Routing Problem (VRP) is a classic combinatorial optimization problem of great scientific interest in the field of Operations Research due to its high economic impact and its ... See full document
18
Competitive Vehicle Routing Problem with Time Windows and Stochastic Demands
... constrained routing and scheduling problems in ...the vehicle routing problem with soft time ...for multi-objective vehicle routing problem with soft time ...a ... See full document
11
Genetic Algorithm for Vehicle Routing Problem with Backhauls
... distance. Constraints (2) and (3) ensure that from any node except depot just one route ...passes. Constraints (4) and (5) denote the number of vehicles leaving the depot must equal the ... See full document
8
Three Strategies Tabu Search for Vehicle Routing Problem with Time Windows
... complicated problem. We refer to [30], [31] for exact, heuristic and metaheuristic algorithms, and to [2] for recent exact algorithms applied to the ...related problem also frequently seen in ... See full document
12
Hybrid Tabu Shuffled Frog Leaping Algorithm for Multipath Quality Route Selection Routing In High Mobility Network
... reactive routing protocol employing the current topology of traffic for identifying its ...of routing as it includes a destination sequence number for identifying paths that are more ...the new ... See full document
7
A Highly Reliable and Efficient Route Recovery Routing Algorithm for Smart Grid Neighborhood Area Networks
... a routing algorithm, such as routing metric and route recovery ...mechanism. Routing metric, that is the standard to choose next hop, is studied in another research work of ours ...the ... See full document
9
Multi Stage Investment Planning and Customer Selection in A Two Echelon Multi-Period Supply Chain
... a Vehicle Routing Problem ...location-allocation problem in the warehouse, Multiple Depot Vehicle Routing Problem (MDVRP) at the distribution level, and customer ... See full document
19
Exact Algorithm to Solve the Minimum Cost Multi Constrained Multicast Routing Problem
... the problem becomes more complex, and different tree based solutions are proposed [12] [13] [14] ...(MCM) problem aims to compute a sub-graph M = ( { } s D , , H ) that contains a feasible path from the ... See full document
23
Application of Adaptive Large Neighbourhood Search for a Rich and Real World Vehicle Routing Problem
... to route selection/allocation ...ALNS algorithm first selects a method to remove a number of tasks from a ...no route selector is applied, this means that potentially a task can be planned in a ... See full document
103
Vehicle route scheduling and transportation cost minimization in a latex industry using PSO
... James Kennedy reviewed the PSO concept and introduced a new form of particle swarm optimizer [9]. They examined how changes in the procedure affect the number of iteration required to meet an error criterion, and ... See full document
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