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 paper

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
PublisherSpringer
Pages410-418
ISBN (Print)9783030039905
DOIs
Publication statusPublished - 2018

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Cox, W. M. E., French, T., Reynolds, M., & While, R. (2018). A Cooperative Coevolutionary Algorithm for Real-time Underground Mine Scheduling. In Artificial Intelligence, AI 2018, Wellington, New Zealand, December 2018 (pp. 410-418). Springer. https://doi.org/10.1007/978-3-030-03991-2_38
Cox, Wesley Michael Edwin ; French, Timothy ; Reynolds, Mark ; While, Ronald. / A Cooperative Coevolutionary Algorithm for Real-time Underground Mine Scheduling. Artificial Intelligence, AI 2018, Wellington, New Zealand, December 2018. Springer, 2018. pp. 410-418
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Cox, WME, French, T, Reynolds, M & While, R 2018, A Cooperative Coevolutionary Algorithm for Real-time Underground Mine Scheduling. in Artificial Intelligence, AI 2018, Wellington, New Zealand, December 2018. Springer, pp. 410-418. https://doi.org/10.1007/978-3-030-03991-2_38

A Cooperative Coevolutionary Algorithm for Real-time Underground Mine Scheduling. / Cox, Wesley Michael Edwin; French, Timothy; Reynolds, Mark; While, Ronald.

Artificial Intelligence, AI 2018, Wellington, New Zealand, December 2018. Springer, 2018. p. 410-418.

Research output: Chapter in Book/Conference paperConference paper

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AB - 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.

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Cox WME, French T, Reynolds M, While R. A Cooperative Coevolutionary Algorithm for Real-time Underground Mine Scheduling. In Artificial Intelligence, AI 2018, Wellington, New Zealand, December 2018. Springer. 2018. p. 410-418 https://doi.org/10.1007/978-3-030-03991-2_38