摘要
一位新闻记者兼机器人与机器学习每日新闻-机器学习的新研究-计算机智能是一篇报道的主题。根据NewsRx记者在英国伯明翰的新闻报道，研究表明：“与大多数其他动态多目标优化问题不同的是(DMOPs)，目标数目变化的DMOPs通常会导致帕累托前沿或帕累托集流形的扩张或收缩。知识转移被用于求解DMOPs。”因为它可以从解决一个问题实例中传递有用的信息来解决另一个相关的问题实例。本研究经费来源于国家自然科学基金(NSFC)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning - Com putational Intelligence is the subject of a report. According to news reporting from Birmingham, United Kingdom, by NewsRx journalists, research stated, “Differ ent from most other dynamic multi-objective optimization problems (DMOPs), DMOPs with a changing number of objectives usually result in expansion or contraction of the Pareto front or Pareto set manifold. Knowledge transfer has been used fo r solving DMOPs, since it can transfer useful information from solving one probl em instance to solve another related problem instance.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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