Evolution

This 2019 ebook explores universal themes around how scheduling should preserve orebody knowledge, the benefits of knowledge replacing assumptions, and how an integrated process across mine planning, scheduling and production provides effective decision support.

This 2019 conference paper presents the benefits of a global optimisation approach using a customised memetic algorithm. This synergy of evolutionary and classical optimisation techniques can optimise strategic capital decisions while taking into account multiple mining policies.

This 2016 conference paper outlines how a customised optimisation algorithm was developed and tested on a casting scheduling scenario in a foundry. The research aimed to identify critical factors in handling tens of thousands of variables to find near-optimal solutions in a computationally fast manner.

This paper presented at AusIMM Orebody Modelling & Mine Planning in 2014 discusses the advantages of various optimisation techniques. It concludes that evolutionary algorithms are agile and easily adaptable, making them suitable for solving complex real world mining problems.