A Cooperative Coevolutionary Algorithm for Real-time Underground Mine Scheduling

Wesley Michael Edwin Cox, Timothy French, Mark Reynolds, Ronald While

Research output: Chapter in Book/Conference paperConference paperpeer-review

Abstract

We apply a cooperative coevolutionary algorithm for the real-time evolution of schedules in underground mines. The algorithm evolves simultaneously both truck dispatching and traffic light schedules for one-lane roads. The coevolutionary approach achieves high production with fewer trucks than both the widely-used DISPATCH algorithm, and commonly-used greedy heuristics. © Springer Nature Switzerland AG 2018.
Original languageEnglish
Title of host publicationArtificial Intelligence, AI 2018, Wellington, New Zealand, December 2018
EditorsBing Xue, Tanja Mitrovic, Xiaodong Li
PublisherSpringer
Pages410-418
Number of pages9
ISBN (Print)9783030039905
DOIs
Publication statusPublished - 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11320 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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