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


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
Number of pages9
ISBN (Print)9783030039905
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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