A New Fuzzy Knowledge-Based Optimisation System for Management of Container Yard Operations

Ammar Al Bazi, Vasile Palade, Ali Hadi Hussain Joma Abbas

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)
    99 Downloads (Pure)


    Managing the container yard operations can be challenging as a result of various uncertainties associated with storing and retrieving containers from the yard. These associated uncertainties occur because the arrival of a truck to pick up the container is random, so the departure time of the container is unknown. The problem investigated in this paper emerges when newly arrived containers of different sizes, types and weights require storage operation in the same yard where other containers have already been stored. This situation becomes more challenging when the time of departure of existing container is not known. This study develops a new Fuzzy Knowledge-Based optimisation system named ‘FKB_GA’ for optimal storage and retrieval of containers in a yard that contains long stay pre-existing containers. The containers’ duration of stay factor is considered along with two other factors such as the similarity (containers with same customer) and the quantity of containers per stack.
    A new Multi-Layered Genetic Algorithm module is proposed which identifies the optimal fuzzy rules required for each set of fired rules to achieve a minimum number of container re-handlings when selecting a stack. An industrial case study is used to demonstrate the applicability and practicability of the developed system.
    Original languageEnglish
    Article number2150003
    JournalInternational Journal on Artificial Intelligence Tools
    Issue number2
    Publication statusPublished - 26 Mar 2021

    Bibliographical note

    Electronic version of an article published as International Journal on Artificial Intelligence Tools, vol. 30, no. 2, (2021) 2150003. 10.1142/S0218213021500032 © copyright World Scientific Publishing Company https://www.worldscientific.com/worldscinet/ijait

    Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.


    • Fuzzy Knowledge-Based Model
    • Multi-Layer Genetic Algorithm
    • Fuzzy Rules
    • ‘ON/OFF’ Strategy
    • Container yard operations
    • container yard operations
    • multi-layer genetic algorithm
    • fuzzy rules
    • 'ON/OFF' strategy
    • Fuzzy knowledge-based model

    ASJC Scopus subject areas

    • Artificial Intelligence


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