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Journal ArticleDOI

A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows

TL;DR: The paper presents an efficient Hybrid Genetic Search with Advanced Diversity Control for a large class of time-constrained vehicle routing problems, introducing several new features to manage the temporal dimension.
About: This article is published in Computers & Operations Research.The article was published on 2013-01-01. It has received 452 citations till now. The article focuses on the topics: Static routing & Vehicle routing problem.
Citations
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Journal ArticleDOI
TL;DR: This classification is the first to categorize the articles of the VRP literature to this level of detail and is based on an adapted version of an existing comprehensive taxonomy.

800 citations


Cites background or methods from "A hybrid genetic algorithm with ada..."

  • ...In our classification, only Cordeau and Maischberger (2012) and Vidal et al. (2013) propose a “general” algorithm that can solve multiple variants of the VRP....

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  • ...…in Cordeau and Maischberger (2012) is applicable to the classical VRP, PVRP, MDVRP and the site-dependent VRP; the genetic search algorithm in Vidal et al. (2013) can solve large scale VRPTW and extensions such as the periodic VRPTW, the multiple depot VRPTW and VRPTW with vehicle-site…...

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  • ...Time windows are defined as hard (or strict) when it is not allowed to deliver outside of the time interval (Agra et al., 2013; Vidal et al., 2013)....

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  • ...…(2013); Hu et al. (2013); Belfiore and Yoshizaki (2013); Rancourt et al. (2013); Stenger et al. (2013); Fleming et al. (2013); Tas et al. (2013); Vidal et al. (2013); Dabia et al. (2013) 18 2012 Moon et al. (2012); Pillac et al. (2012); Jin et al. (2012); Kuo et al. (2012); Zhang et al.…...

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Journal ArticleDOI
TL;DR: The purpose is to review the most up-to-date state-of-the-art of GVRP, discuss how the traditional VRP variants can interact with G VRP and offer an insight into the next wave of research into GVRp.
Abstract: Green Logistics has emerged as the new agenda item in supply chain management. The traditional objective of distribution management has been upgraded to minimizing system-wide costs related to economic and environmental issues. Reflecting the environmental sensitivity of vehicle routing problems (VRP), an extensive literature review of Green Vehicle Routing Problems (GVRP) is presented. We provide a classification of GVRP that categorizes GVRP into Green-VRP, Pollution Routing Problem, VRP in Reverse Logistics, and suggest research gaps between its state and richer models describing the complexity in real-world cases. The purpose is to review the most up-to-date state-of-the-art of GVRP, discuss how the traditional VRP variants can interact with GVRP and offer an insight into the next wave of research into GVRP. It is hoped that OR/MS researchers together with logistics practitioners can be inspired and cooperate to contribute to a sustainable industry.

741 citations

Journal ArticleDOI
TL;DR: This article takes a closer look at the concepts of 64 remarkable meta-heuristics, selected objectively for their outstanding performance on 15 classic MAVRP with different attributes, and leads to the identification of “winning strategies” in designing effective heuristics forMAVRP.

415 citations

Journal ArticleDOI
TL;DR: A new problem, the so-called Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows (EFSMVRPTW), covers real world applications where an optimal mix of different available battery powered (and conventional) vehicles has to be found.

399 citations


Cites background or methods from "A hybrid genetic algorithm with ada..."

  • ...According to the categorization introduced by Vidal et al. (2013a), the E-FSMFTW consists of several EVAL attributes, i.e., capacity, distance, and state of charge, as well as a single ASSIGN attribute: the vehicle type....

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  • ...However, as shown in Vidal et al. (2013b), there exists a large number of objective values and constraints that can be evaluated in O(1)....

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  • ...For the concatenation of the capacity and distance attributes – and the time attribute to some extent, – the definitions also presented in Vidal et al. (2013b) are used....

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  • ...Recently, Vidal et al. (2013b) presented a hybrid evolutionary algorithm using population management mechanisms and a generalized solution representation with modular evaluation which is able to solve a large class of VRPs, including the FSMFTW....

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  • ...As the number of neighbours is large and computationally expensive, a pruning approach as described in Vidal et al. (2013b) is used to reduce the number of neighbours considered....

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Journal ArticleDOI
TL;DR: In this article, the authors proposed an Adaptive Large Neighborhood Search algorithm that is enhanced by a local search for intensification to optimize the routing of a mixed fleet of electric commercial vehicles and conventional internal combustion commercial vehicles (ICCVs).

372 citations

References
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Journal ArticleDOI
TL;DR: This paper considers the design and analysis of algorithms for vehicle routing and scheduling problems with time window constraints and finds that several heuristics performed well in different problem environments; in particular an insertion-type heuristic consistently gave very good results.
Abstract: This paper considers the design and analysis of algorithms for vehicle routing and scheduling problems with time window constraints. Given the intrinsic difficulty of this problem class, approximation methods seem to offer the most promise for practical size problems. After describing a variety of heuristics, we conduct an extensive computational study of their performance. The problem set includes routing and scheduling environments that differ in terms of the type of data used to generate the problems, the percentage of customers with time windows, their tightness and positioning, and the scheduling horizon. We found that several heuristics performed well in different problem environments; in particular an insertion-type heuristic consistently gave very good results.

3,211 citations


"A hybrid genetic algorithm with ada..." refers background in this paper

  • ...…Gendreau 2005b,a, Gendreau and Tarantilis 2010, for extensive reviews), and have been mostly evaluated and compared on standard benchmark instances introduced by Solomon (1987) and Gehring and Homberger (1999) relative to their computational efficiently and the quality of the solutions obtained....

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  • ...Each other vertex vi ∈ V\{v0}, for i ∈ {1, . . . , n}, stands for a customer to be serviced, characterized by a non-negative demand qi, a service duration τi, as well as an interval of allowable visit times [ei, li], called time window....

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01 Jan 1985
TL;DR: This study tested human performance on a real and virtual floor, as well as in a threedimensional (3D) virtual space, and modeled these results by a graph pyramid algorithm, which suggests that deterioration of performance in the 3D space can be attributed to geometrical relations between hierarchical clustering in a3D space and coarse-to-fine production of a tour.
Abstract: When a two-dimensional (2D) traveling salesman problem (TSP) is presented on a computer screen, human subjects can produce near-optimal tours in linear time. In this study we tested human performance on a real and virtual floor, as well as in a threedimensional (3D) virtual space. Human performance on the real floor is as good as that on a computer screen. Performance on a virtual floor is very similar, while that in a 3D space is slightly but systematically worse. We modeled these results by a graph pyramid algorithm. The same algorithm can account for the results with 2D and 3D problems, which suggests that deterioration of performance in the 3D space can be attributed to geometrical relations between hierarchical clustering in a 3D space and coarse-to-fine production of a tour.

1,790 citations

Journal ArticleDOI
TL;DR: A unified heuristic which is able to solve five different variants of the vehicle routing problem and shown promising results for a large class of vehicle routing problems with backhauls as demonstrated in Ropke and Pisinger.

1,282 citations


"A hybrid genetic algorithm with ada..." refers background or methods in this paper

  • ...…recombinations (Alvarenga et al. 2007, Hashimoto et al. 2008, Labadi et al. 2008, Repoussis et al. 2009, Nagata et al. 2010); • Ruin and recreate (Pisinger and Ropke 2007, Prescott-Gagnon et al. 2009, Repoussis et al. 2009); • Ejection chains (Lim and Zhang 2007, Nagata and Bräysy 2009,…...

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  • ...Each customer vi is characterized by a frequency fi, representing the total number of services requested on the planning horizon, and a list Li of allowable visit combinations, called patterns....

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  • ...The Iterated Local Search (ILS) of Ibaraki et al. (2008), the Adaptive Large Neighbourhood Search (ALNS) of Pisinger and Ropke (2007), and the Unified Tabu Search (UTS) of Cordeau et al. (1997, 2001, 2004) are also worth mentioning....

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  • ...…compares the average and best results, as well as the average run time of HGSADC with state-of-the-art methods for each problem: • PisR: ALNS of Pisinger and Ropke (2007) • LZ: Two-phase ejections chains and iterated local search of Lim and Zhang (2007) • PDR: Branch-and-price based LNS of…...

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Journal ArticleDOI
TL;DR: How heuristic methods should be evaluated and proposed using the concept of Pareto optimality in the comparison of different heuristic approaches are discussed.
Abstract: This paper presents a survey of the research on the vehicle routing problem with time windows (VRPTW). The VRPTW can be described as the problem of designing least cost routes from one depot to a set of geographically scattered points. The routes must be designed in such a way that each point is visited only once by exactly one vehicle within a given time interval, all routes start and end at the depot, and the total demands of all points on one particular route must not exceed the capacity of the vehicle. Both traditional heuristic route construction methods and recent local search algorithms are examined. The basic features of each method are described, and experimental results for Solomon's benchmark test problems are presented and analyzed. Moreover, we discuss how heuristic methods should be evaluated and propose using the concept of Pareto optimality in the comparison of different heuristic approaches. The metaheuristic methods are described in the second part of this article.

1,103 citations


"A hybrid genetic algorithm with ada..." refers background or methods in this paper

  • ...As illustrated by numerous reviews (Bräysy and Gendreau 2005b,a, Francis et al. 2008, Gendreau et al. 2008, Gendreau and Tarantilis 2010, for the most recent), almost every prominent meta-heuristic paradigm, including evolutionary methods, ant colony optimization, tabu search, simulated annealing,…...

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  • ...Heuristic and meta-heuristic approaches have thus been the methodology of choice (see Bräysy and Gendreau 2005b,a, Gendreau and Tarantilis 2010, for extensive reviews), and have been mostly evaluated and compared on standard benchmark instances introduced by Solomon (1987) and Gehring and…...

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Book ChapterDOI
01 Jan 1995
TL;DR: Computational bounds for local search in combinatorial local search algorithms for Combinatorial problems local searchgorithms for solving the combinatoric a dual local search framework for combinatorials the max-min ant system and local search for combinatorsial a framework for local combinatoria optimization problems localSearch in combinatorship optimization radarx heuristics and localsearch paginas.
Abstract: computational bounds for local search in combinatorial local search algorithms for combinatorial problems local search algorithms for solving the combinatorial a dual local search framework for combinatorial the max-min ant system and local search for combinatorial a framework for local combinatorial optimization problems local search in combinatorial optimization mifou local search in combinatorial optimization radarx heuristics and local search paginas.fe.up local search in combinatorial optimization banani local search in combinatorial optimization integrating interval estimates of global optima and local local search in combinatorial optimization holbarto a fuzzy valuation-based local search framework for local search in combinatorial optimization gbv gentle introduction to local search in combinatorial e cient local search for several combinatorial introduction: combinatorial problems and search on application of the local search optimization online local search for combinatorial optimisation problems how to choose solutions for local search in multiobjective a hybrid of inference and local search for distributed on set-based local search for multiobjective combinatorial localsolver: black-box local search for combinatorial on local optima in multiobjective combinatorial sets of interacting scalarization functions in local introduction e r optimization online estimation-based local search for stochastic combinatorial advanced search combinatorial problems sas/or user's guide: local search optimization how easy is local search? univerzita karlova metaheuristic search for combinatorial optimization local search genetic algorithms for the job shop towards a formalization of combinatorial local search dynamic and adaptive neighborhood search in combinatorial global search in combinatorial optimization using a framework for the development of local search heuristics a feasibility-preserving local search operator for hybrid metaheuristics in combinatorial optimization: a survey consultant-guided search algorithms with local search for a new optimization algorithm for combinatorial problems hybrid metaheuristics in combinatorial optimization: a survey network algorithms colorado state university model-based search for combinatorial optimization: a local and global optimization stochastic local search algorithms for multiobjective corso (collaborative reactive search optimization local search in combinatorial optimization zaraa

1,055 citations