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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

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TLDR
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.
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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.

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Citations
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Journal ArticleDOI

An estimation of distribution algorithm for combinatorial optimization problems

TL;DR: The proposed metaheuristic, called HEDAMMF (Hybrid Estimation of Distribution Algorithm with Mallows model and Moth-Flame algorithm), improves the performance of recent algorithms and has a better performance, or equal in effectiveness, than recent algorithms.
DissertationDOI

A cartographic approach to the dynamic vehicle routing problem with time windows and stochastic customers

TL;DR: This dissertation presents a cartographic approach to the dynamic vehicle routing problem with time windows and stochastic customers (DVRPTWSC) and shows that the proposed MA performs competitively with state-of-the-art heuristics for the VRPTW.
Dissertation

Development of a spectral unmixing procedure using a genetic algorithm and spectral shape

TL;DR: This chapter discusses the development of the Spectral Angle Constraint Algorithm and its applications in genetic unmixing, as well as its application in synthetic data creation.
Book ChapterDOI

Balancing Exploration and Exploitation in the Memetic Algorithm via a Switching Mechanism for the Large-Scale VRPTW

TL;DR: A switching mechanism is introduced to balance quantitatively between exploration and exploitation, to improve the convergent performance and a similarity measure and a sigmoid function is defined to guide the crossover.
References
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Journal ArticleDOI

Algorithms for the vehicle routing and scheduling problems with time window constraints

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.

The traveling salesman problem

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.
Journal ArticleDOI

A general heuristic for vehicle routing problems

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.
Journal ArticleDOI

Vehicle Routing Problem with Time Windows, Part I: Route Construction and Local Search Algorithms

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.
Book ChapterDOI

Local Search in Combinatorial Optimization

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.
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