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Erschienen in:
Review and Applications of Metaheuristic Algorithms in Civil Engineering Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Hybrid Meta-heuristic Application in the Asphalt Pavement Management System

verfasst von : Fereidoon Moghadas Nejad, Ashkan Allahyari Nik, H. Zakeri

Erschienen in: Metaheuristics and Optimization in Civil Engineering

Verlag: Springer International Publishing

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Abstract

This chapter presents a hybrid meta-heuristic method which combines particle swarm optimization (PSO) and genetic algorithm (GA) search procedures to predict the pavement condition index (PCI) based on Surveyed Inspection Units (SIUs). Both PSO and GA are used and a comparison is made among three approaches for evaluating the optimal arrangement of SIUs. A hybrid method was developed to build and optimize the models. The performances of these hybrid models were compared based on Sampling Error (SE), Total Network Inspection Error (TNIE), inspection time based on CPU time (seconds), total number of SIUs, and others. Based on the results of the computational experiments, one of the proposed heuristic procedures is used for solving problems in the arrangement of surveyed asphalt pavement inspection units. The study reveals that the hybrid model outperforms both the PSO and the GA based models.

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Vorheriges Kapitel Genetic Algorithms for Optimization of 3D Truss Structures
Nächstes Kapitel Optimum Reinforced Concrete Design by Harmony Search Algorithm
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Metadaten
Titel
Hybrid Meta-heuristic Application in the Asphalt Pavement Management System
verfasst von
Fereidoon Moghadas Nejad
Ashkan Allahyari Nik
H. Zakeri
Copyright-Jahr
2016
Buch
Metaheuristics and Optimization in Civil Engineering

Print ISBN: 978-3-319-26243-7

Electronic ISBN: 978-3-319-26245-1

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-26245-1_7