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

建模和优化技术已经成为矿山设计和生产调度(MDPS)的一个标准核心方面，因为它们最大化了矿山矿石生产所贡献的经济价值，并确定了从矿山开发到关闭所遵循的技术计划。MDPS优化是一个需要解决的复杂问题，因为其规模很大，无法获得真正最优的净现值(NPV)解决方案，所涉及的关键参数(地质/采矿、财务、环境)存在不确定性，并且缺乏对采矿综合体的各个元素进行全局或同时优化的方法。在过去的几年里，整合和管理MDPS不确定性，特别是地质不确定性的随机方法的发展表明，净现值和金属产量大幅增加。为了使这些发展更上一层楼，研究工作需要专注于开发整合了全球意义上的不确定性的优化，并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. .