Preface to the Special Issue on Computational Performance Analysis based on Novel Intelligent Methods: Exploration and Future Directions in Production and Logistics

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Foundations of Computing and Decision Sciences Pub Date : 2022-06-01 DOI:10.2478/fcds-2022-0005

Alireza Goli, E. B. Tirkolaee, G. Weber

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引用次数: 0

Abstract

Abstract This special issue of the Foundations of Computing and Decision Sciences, titled “Computational Performance Analysis based on Novel Intelligent Methods: Exploration and Future Directions in Production and Logistics”, is devoted to the application of Computational Performance Analysis (CPA) for real-life phenomena. The special issue and its editorial present novel intelligent methods as they meet with various research topics in production and logistics, especially in terms of challenges, limitations and future trends. This special issue aims to bring together current progress on the CPA, organization management, and novel models and solution techniques that can contribute to a better understanding of the CPA systems and delineate useful practical strategies. Methodologically interesting and well-documented case studies are highly recommended. Additionally, the special issue covers innovative cutting-edge research methodologies and applications in the related research field.

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基于新型智能方法的计算性能分析特刊前言:在生产和物流中的探索和未来方向

摘要本期《计算与决策科学基础》特刊题为“基于新型智能方法的计算性能分析：生产和物流的探索和未来方向”，致力于研究计算性能分析（CPA）在现实生活中的应用。特刊及其社论介绍了新的智能方法，因为它们满足了生产和物流领域的各种研究主题，特别是在挑战、局限性和未来趋势方面。本期特刊旨在汇集CPA、组织管理以及新模型和解决方案技术方面的最新进展，这些模型和技术有助于更好地理解CPA系统并制定有用的实用策略。强烈建议进行方法感兴趣且有充分记录的案例研究。此外，特刊还涵盖了创新的前沿研究方法和在相关研究领域的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Foundations of Computing and Decision Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

2.20

自引率

9.10%

发文量

审稿时长

29 weeks