Breaking the Billion Variable Barrier in Real-World Optimization Using a Customized Evolutionary Algorithm

Award-winning paper 'Breaking the Billion Variable Barrier in Real-World Optimization Using a Customized Evolutionary Algorithm' by Maptek's Christie Myburgh and Professor Kalyanmoy Deb of Michigan State University outlines a new evolutionary computation that scales to handle even the most difficult problems. The algorithm is applied to the complexity of real-world mining operations in Maptek's Evoution scheduling software. To read more, please download this free white paper.

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