Developing New Global Stochastic Optimization and High-order Stochastic Models for Optimizing Mining Complexes under Uncertainty

建模和优化技术已成为矿山设计和生产调度（MDPS）的标准核心方面，因为它们最大限度地提高了矿山矿石生产的经济价值，并确定了从矿山开发到关闭的技术计划。MDPS优化是一个复杂的问题，以解决由于其规模大，一个真正的最佳净现值（NPV）解决方案的不可用性，在所涉及的关键参数（地质/采矿，金融，环境）的不确定性和缺乏一个方法的全局或同时优化的单个元素的采矿综合体。 在过去的几年中，随机方法的发展，整合和管理MDPS的不确定性，特别是地质的不确定性，净现值和金属产量大幅增加。为了将这些发展提升到一个新的水平，研究工作需要专注于开发优化，在全球范围内整合不确定性，同时考虑采矿综合体的所有要素。.

Modelling and optimization techniques have become a standard core aspect of mine design and production scheduling(MDPS) because they maximize the economic value contributed by ore production from a mine and define a technical plan to be followed from a mine's development to its closure. MDPS optimization is a complex problem to address due to its large scale, the unavailability of a truly optimal net present value (NPV) solution, uncertainty in the key parameters involved (geological/mining, financial, environmental) and the absence of a method for global or simultaneous optimization of the individual elements of a mining complex. Over the past several years, developments in stochastic methods that integrate and manage uncertainty in MDPS, in particular geological uncertainty, show substantial increases in NPV and metal production. To take these developments to the next level, research efforts need to focus on developing optimization that integrates uncertainty in a global sense and simultaneously consider all elements of a mining complex. .