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論文征稿:IEEE CEC 2025進化智能決策方法與應(yīng)用Special Session

大家好!我們將在2025 IEEE Congress on Evolutionary Computation國際會議上舉辦“進化智能決策方法與應(yīng)用”的 Special Session,本專題將聚焦進化計算在智能決策中方法研究與應(yīng)用系統(tǒng)等相關(guān)工作,歡迎大家賜稿!

IEEE CEC是IEEE計算智能學會每年主辦的國際會議,匯聚了來自世界各國的進化計算專家學者,并且有很多精彩的keynotes,tutorials和panel discussions。該會議論文集將被IEEE Xplore收錄,并包括在所有主流的索引里(例如EI index,DBLP)。

投稿時請選擇

CEC-SS:Special Session on Evolutionary Intelligent Decision-making Method and Application

以下是Call for paper詳情,如有任何問題,請聯(lián)系劉昶(changl@sia.cn)

截稿日期:2025年1月31日

投稿時請選擇

CEC-SS:Evolutionary Intelligent Decision-making Method and Application

Special Session:  Evolutionary Intelligent Decision-making Method and Application

Overview

Intelligent decision-making is an important research area in the field of artificial intelligence with many real-world applications. By integrating constraints, strategies, preferences, uncertainties, and other factors, the optimal decision can be automatically achieved. This domain has attracted great attention of researchers and practitioners, from the traditional operations research, optimization, artificial intelligence, and evolutionary computation. This special session aims to bring together researchers and practitioners from diverse backgrounds to explore the latest advancements, challenges, and applications of intelligent decision-making methods, with a particular focus on evolutionary and swarm optimization algorithms, and novel hybrid approaches that combine machine learning and optimization techniques to solve complex decision-making problems are highly encouraged.

Topics

This special session focuses on both practical and theoretical aspects of decision-making.

Topics of interest include, but not limited to:

• Data-driven Decision Making and Optimization

• Evolutionary Multi-Agent Systems for Collaborative Decision-Making

• Evolutionary Game Theory in Intelligent Decision Making Application

• Optimization of Game Strategy Based on Evolutionary Computation

• Optimization Strategies of Evolutionary Computation in Complex Decision Problems

• Multi-Objective Evolutionary Optimization in Intelligent Decision Making Application

• Fusion Optimization Methods in Complex Decision Problems

• Evolutionary Learning and Optimization of Intelligent Decision Systems

• Parallel and Distributed Optimization of Evolutionary Computing in Large scale Intelligent Decision Systems

• Robust Optimization of Evolutionary Computation in Uncertain Decision Environments

• Fuzzy Decision System Based on Evolutionary Computation

• Evolutionary Optimization in Dynamic Decision Problems

• Application of Evolutionary Computing in Design Engineering

• Intelligent scheduling Based on Evolutionary Algorithm

• Application of Evolutionary Computing in Fault diagnosis and preventive maintenance

Special Session Chairs

  • A/Prof. Chang Liu, Shenyang Institute of Automation, Chinese Academy of Sciences
  • A/Prof. Bing Yan, Rochester Institute of Technology, USA
  • Ph.D. Rui Wang, University of Chinese Academy of Sciences, China
  • Prof. Fengzhen Tang, University of Chinese Academy of Sciences, China
  • Prof. Yaochu Jin, Westlake University, Hangzhou, China,

Submission Guideline

Please follow the submission guideline from the IEEE CEC 2025 Submission Website. Special session papers are treated the same as regular conference papers. Please specify that your paper is for the Special Session on Evolutionary Intelligent Decision-making Method and Application. All papers accepted and presented at the conference will be included in the conference proceedings published by IEEE Explore, which are typically indexed by EI.

Important Dates

  • 31 January 2025: Paper Submission Deadline
  • 15 March 2025: Paper Acceptance Notification
  • 1 May 2025: Final Paper Submission & Early Registration Deadline
  • 8-12 June 2025: Conference Date
學者網(wǎng)機構(gòu)號是學者網(wǎng)提供的學術(shù)"公眾號"平臺,為學者團隊、學術(shù)機構(gòu)、企業(yè)等提供官方媒體賬號服務(wù),支持發(fā)布動態(tài)、活動、通知與招生招聘信息等內(nèi)容,支持多人協(xié)作維護,助力機構(gòu)鏈接學界資源、擴大學術(shù)影響力。

可信及通用人工智能實驗室由歐洲科學院院士、IEEE Fellow,西湖大學人工智能講席教授金耀初領(lǐng)導成立。實驗室致力于應(yīng)用驅(qū)動的可信人工智能研究,以及采用演化發(fā)育方法探索實現(xiàn)通用人工智智能的新途徑。
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