Due to various complexities in rea I-world systems, intelligent optimization algorithms have been successfully applied to complex problems in a variety of engineering fields which cannot be solved effectively by traditional methods. Inspired by the behavior, experience, and cognition from nature and society systems, data-driven intelligent optimization aims to achieve consistent results effectively and efficiently based on the mechanisms of computational intelligence. During the past decade, increasing attention has been paid to theoretical analysis, algorithm design, and performance improvement of intelligent optimization as well as a wide range of applications especially scheduling problems. Intelligent optimization and scheduling theory, algorithms and applications have become frontier researches full of both opportunities and challenges. The aim of this Special Section is to reflect the state-of-the-art of intelligent optimization and scheduling (IOS) with interdisciplinary developments, providing a platform to share innovative work in such an emerging and significant area.

中文翻译：

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征文通知：关于智能优化和调度的特别部分

由于rea I-world系统的各种复杂性，智能优化算法已成功应用于各种工程领域中的复杂问题，而这些问题是传统方法无法有效解决的。受到自然和社会系统的行为，经验和认知的启发，数据驱动的智能优化旨在基于计算智能的机制有效，高效地获得一致的结果。在过去的十年中，人们对智能优化的理论分析，算法设计和性能改进以及广泛的应用（尤其是调度问题）给予了越来越多的关注。智能优化和调度理论，算法和应用已成为充满机遇和挑战的前沿研究。