a heuristic approach for optimizing the truck dispatching

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A Heuristic Approach for Optimizing the Truck Dispatching ...

MOHAMED MASOUD et al: A HEURISTIC APPROACH FOR OPTIMIZING THE TRUCK DISPATCHING IN ... DOI 10.5013/IJSSST.a.17.35.21 21.1 ISSN: 1473-804x online, 1473-8031 print A Heuristic Approach for Optimizing the Truck Dispatching in Ready Mixed Concrete Industry

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Train Dispatching: Heuristic Optimization

Heuristic Optimization Abstract Train dispatchers faces lots of challenges due to conflicts which causes delays of trains as a result of solving possible dispatching problems the network faces. The major challenge is for the train dispatchers to make the right decisions and have reliable, cost effective and much more faster approaches needed to ...

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Train Dispatching: Heuristic Optimization

This thesis work provides detail information on the implementation of different heuristic algorithms for train dispatchers in solving train dispatching problems.

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Hyper-heuristic Evolution of Dispatching Rules: A ...

Jun 01, 2015  We employ a metaheuristic (evolutionary algorithm) to search the space of heuristics (dispatching rules), rather than the space of solutions to the particular scheduling problem. Thus, our approach constitutes a hyper-heuristic approach (Burke et al., 2009, 2013). The derived dispatching rule can later be used for scheduling of many problem ...

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Optimization-Based Dispatching Policies for Open-Pit Mining

Optimization-Based Dispatching Policies for Open-Pit Mining Amanda Smith 1, Je Linderothy 1,2, and Jim Luedtkez 1Department of Industrial and Systems Engineering, University of Wisconsin-Madison 2Wisconsin Institute for Discovery, Uniuversity of Wisconsin-Madison February, 2020 Abstract We propose, implement, and test two approaches for dispatching trucks in an open-pit min-

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Effective methods for petroleum tank truck dispatching ...

Jan 01, 1988  CONCLUSIONS Two heuristic methods have been developed and tested for solving a petroluem tank truck dispatching problem. The greedy method and the Subproblem optimization approaches are both effective methods for achieving relatively balanced solutions to the 14 test problems.

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A Heuristic Algorithm for the Vehicle-Dispatch Problem ...

R. L. KARG AND G. L. THOMPSON, "A Heuristic Approach to Solving Traveling Salesman Problems," Management Sci. 10, 225-247 (1964). Google Scholar Digital Library; SHEN LIN, "Computer Solutions of the Traveling Salesman Problem," Bell Syst. Tech J. 44, 2245-2269 (1965). Google Scholar Cross Ref

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A Heuristic Algorithm for the Vehicle-Dispatch Problem ...

A heuristic approach for the truck and trailer routing problem 21 December 2017 Journal of the Operational Research Society, Vol. 61, No. 7 A hybrid particle swarm optimization algorithm for the vehicle routing problem

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A Parallel Approach for Optimizing RMC Delivery Problem

to optimize the truck dispatching sequence in an optimal way. ... This paper proposes a robust heuristic approach for the VRPTW using travel distance as the main objective through an efficient ...

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Research Article Modelling and Optimizing an Open-Pit ...

Modelling and Optimizing an Open-Pit Truck Scheduling Problem ... a heuristic solution approach with two improvement strategies is proposed to resolve the problem and the numerical ... To represent the dump selection and truck dispatch decisions, we introducethe following decision variables: = 1, if truck

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Effective methods for petroleum tank truck dispatching ...

Jan 01, 1988  CONCLUSIONS Two heuristic methods have been developed and tested for solving a petroluem tank truck dispatching problem. The greedy method and the Subproblem optimization approaches are both effective methods for achieving relatively balanced solutions to the 14 test problems.

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A Stochastic Optimization Approach to Mine Truck Allocation

on a multi-step dispatch model, which consists of two linear programming steps to optimize the initial truck flow and implemented a real-time dispatch based on the concept of a ‘minimizing ratio variance’ rule. Various heuristic rules were used in the dispatching system. Lizotte et al. [4] discussed many rules: maximization of truck ...

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Sequential Meta-Heuristic Approach for Solving Large-Scale ...

Sequential Meta-Heuristic Approach for Solving Large-Scale Ready-Mixed Concrete–Dispatching Problems Mojtaba Maghrebi, M.ASCE1; S. Travis Waller, M.ASCE2; and Claude Sammut3 Abstract: Findinga practical solution for the allocation of resources in

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An Integrated Heuristic Approach for the Long-Distance ...

An Integrated Heuristic Approach for the Long-Distance Heterogeneous Vehicle Routing Problem: 10.4018/978-1-7998-1954-7002: In this chapter, a single depot, long-distance heterogeneous vehicle routing problem is studied with fixed costs and vehicle-dependent routing costs

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Modelling and Optimizing an Open-Pit Truck Scheduling Problem

This paper addresses a special truck scheduling problem in the open-pit mine with different transport revenue consideration. A mixed integer programming model is formulated to define the problem clearly and a few valid inequalities are deduced to strengthen the model. Some properties and two upper bounds of the problem are proposed. Based on these inequalities, properties, and upper bounds, a ...

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A Transportation Problem-Based Stochastic Integer ...

Feb 22, 2019  This paper develops a truck dispatching decision-making model based on the transportation problem approach. The developed model is a stochastic integer programming model that makes decisions on the trucks dispatching problem under the condition of trucks’ travel time uncertainty.

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Nature inspired meta heuristic algorithms for optimization ...

May 24, 2021  Optimization and decision making problems in various fields of engineering have a major impact in this current era. Processing time and utilizing memory is very high for the currently available data. This is due to its size and the need for scaling from zettabyte to yottabyte. Some problems need to find solutions and there are other types of issues that need to improve their current best ...

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(PDF) Using Benders Decomposition for Solving Ready Mixed ...

Robust Meta Heuristic Method. in Computer Applied Sci, 2010. 3(1): p. 823-830. Modeling and Simulation (EMS), 2013 Seventh [15] Yan, S., W. Lai, and M. Chen, Production UKSim/AMSS European Symposium on. 2013. scheduling and truck dispatching of ready mixed Manchester, UK: IEEE UK RI Computer Chapter.

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based dispatching systems have been applied to directly ...

based dispatching systems have been applied to directly assign trucks to tasks from AUTO 216 at Truckee Meadows Community College

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GECCO 2021 Author Index

Workshop Paper A heuristic approach to feasibility verification for truck loading (Page 1564) Candelieri, Antonio (University Milano-Bicocca) Poster Risk Aware Optimization of Water Sensor Placement (Page 295) Canonne, Lorenzo (Inria Lille - Nord Europe) Paper A Graph Coloring based Parallel Hill Climber for Large-scale NK-landscapes (Page 216)

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Metaheuristic Optimization Via Memory And Evolution Tabu ...

The Truck Dispatching Problem Management ScienceArtificial Intelligence in Civil Engineering04.05 ... A metaheuristic solution approach to capacitied vehicle routing and network optimization ... 2014 1. Introduction. Meta-heuristic optimization techniques have become very popular over the last two decades. Surprisingly,

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A Heuristic Algorithm for the Vehicle-Dispatch Problem ...

A heuristic approach for the truck and trailer routing problem 21 December 2017 Journal of the Operational Research Society, Vol. 61, No. 7 A hybrid particle swarm optimization algorithm for the vehicle routing problem

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A Stochastic Optimization Approach to Mine Truck Allocation

on a multi-step dispatch model, which consists of two linear programming steps to optimize the initial truck flow and implemented a real-time dispatch based on the concept of a ‘minimizing ratio variance’ rule. Various heuristic rules were used in the dispatching system. Lizotte et al. [4] discussed many rules: maximization of truck ...

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A stochastic optimization approach to mine truck allocation

mathematical programming and heuristic rule methods in the implementation of the truck dispatching system. Efforts at improving truck allocation and dispatching have been investigated in both academia and industry, and these efforts have met with varying degrees of success. The most common approach to the allocation and dispatch problem is to ...

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The Truck Dispatching Problem Management Science

A Data-Driven Genetic Programming Heuristic for Real-World Dynamic Seaport Container Terminal Truck Dispatching. Cluster-based Hyper-Heuristic for Large-Scale Vehicle Routing Problem. ... Two-Phase Optimization Approach and Heuristic Solution. Mathematical Problems in Engineering, Vol.

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A truck and drones model for last-mile delivery: A ...

Apr 01, 2020  We present a mathematical formulation and a heuristic solution approach for the optimal planning of delivery routes in a multi-modal system combining truck and Unmanned Aerial Vehicle (UAV) operations. In this system, truck and UAV operations are synchronized, i.e., one or more UAVs travel on a truck, which serves as a mobile depot.

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REACTIVE WOOD TRANSPORTATION PLANNING WITH

OPTIMIZATION-SIMULATION APPROACH SSAFR 2015 UPPSALA, SWEDEN 19-21 AUGUST 2015 ... Heuristic approach (e.g. ) Dispatching rules implemented in a ... A solution approach for log truck scheduling based on composite ...

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Development of a goal programming model for optimization ...

Subtil et al. have proposed a multi-stage approach for dynamic truck dispatching to maximize the tonnage production [17]; the first stage defines the optimal number of trucks by means of a robust linear programming model, and the second stage uses a dynamic dispatching heuristic for decision-making for truck dispatching.

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A Transportation Problem Based Stochastic Integer ...

parameters on truck dispatching problem. However, most of the factors affecting the truck dispatching decisions are random in behavior such as truck travel time to the next destination. This paper develops a truck dispatching decision making model based on the transportation problem approach.

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En route truck–drone parcel delivery for optimal vehicle ...

Jan 12, 2018  In this section, we present the proposed optimisation approach based on a novel greedy heuristic. The proposed heuristic is a modification of the greedy randomised adaptive search procedure (GRASP) proposed by Ha et al. . Like GRASP, the procedure begins by considering the basic assumption that a truck–drone operation must be performed at ...

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based dispatching systems have been applied to directly ...

based dispatching systems have been applied to directly assign trucks to tasks from AUTO 216 at Truckee Meadows Community College

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(PDF) A Practical Approach to Truck Dispatch for Open Pit ...

35TH APCOM SYMPOSIUM / WOLLONGONG, NSW, 24 - 30 SEPTEMBER 2011 768 A PRACTICAL APPROACH TO TRUCK DISPATCH FOR OPEN PIT MINES The second strategy described by Alarie and Gamache (2002) is called m-trucks-for-1-shovel, where dispatch decisions take into account the m trucks that will request dispatch in the near future, but considering 1 shovel ...

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Title: Integrating Management of Truck and Rail Systems in ...

Research Approach In this section, we first introduce the three heuristic dispatching rules we developed and then describe our dynamic headway model and heuristics for solving the problem. Descriptions of dispatching policies Figure 1 shows a typical double-track railway segment between two major intersections. The length

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2017 - Ali Mohammad - An Investigation into Dispatch ...

optimization software. The algorithm follows n-truck-m-shovel approach addressed by (Alarie and Gamache, 2002). In this approach, the shovel’s need is updated when it moves to a new polygon and when a truck requests for a new assignment the algorithm runs and allocates the truck to a

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A Construction Heuristic for the Split Delivery Vehicle ...

The Split Delivery Vehicle Routing Problem (SDVRP) is a relaxation of the Capacitated Vehicle Routing Problem (CVRP) where customers may be assigned to multiple routes. A new construction heuristic is developed for the SDVRP and computational results are given for thirty-two data sets from previous literature. With respect to the total travel distance, the construction heuristic compares ...

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