Exploring Experts Decisions in Concrete Delivery Dispatching Systems Using Bayesian Network Learning Techniques

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Mojtaba Maghrebi - , University of New South Wales (Autor:in)
  • S. Travis Waller - , University of New South Wales (Autor:in)

Abstract

Optimally solving large scale Ready Mixed Concrete Dispatching Problems (RMCDPs) in polynomial time is a crucial issue and, in the absence of automated solutions, experts are hired to handle resource allocation tasks in concrete dispatching centres. Therefore, in the Ready Mixed Concrete (RMC) industry, the performance of experts is accepted as the only practical solution, although there is no benchmark for assessing the quality of their decisions. This paper aims to discover the experts' decisions in the RMC context by using Bayesian Network. Finding the optimum graph in Bayesian Network is NP-hard, therefore, this research uses a wide range of heuristic search algorithms (Hill Climbing, K2, Look Ahead Hill Climbing, Repeated Hill Climbing, Tabu Search, Simulated Annealing and Genetic Algorithm). A large scale dataset gathered from an active RMC was used for evaluating the proposed idea. Results show that Simulated Annealing search algorithm outperformed other search algorithms, although there is not a significant difference between them. However, interpreting the network obtained by Simulated Annealing involves much more effort than other networks with similar accuracy, such as K2.

Details

OriginalspracheEnglisch
Titel2014 2nd International Conference on Artificial Intelligence, Modelling and Simulation
Redakteure/-innenDavid Al-Dabass, Gregorio Romero, Emilio Corchado, Athanasios Pantelous, Ismail Saad, Alessandra Orsoni
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten103-108
Seitenumfang6
ISBN (elektronisch)978-1-4799-7600-3, 978-1-4799-7599-0
PublikationsstatusVeröffentlicht - 5 Mai 2014
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

ReiheInternational Conference on Artificial Intelligence, Modelling and Simulation (AIMS)

Konferenz

Titel2nd IEEE International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014
Dauer18 - 20 November 2014
StadtMadrid
LandSpanien

Externe IDs

ORCID /0000-0002-2939-2090/work/141543801

Schlagworte

Schlagwörter

  • Bayesian Network, Experts' Decisions, Ready Mixed Concrete

Bibliotheksschlagworte