[CFP]-IEEE WCCI 2024 Special Session on Evolutionary Computation in Wireless Communications
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Weiwei Jiang
Nov 26, 2023, 7:52:29 PM11/26/23
to Machine Learning News
Dear Colleagues,
We would like to cordially invite you to submit a paper to our special session on "Evolutionary Computation in Wireless Communications" for the The IEEE World Congress on Computational Intelligence (WCCI) 2024. Please find the description below:
CALL FOR PAPERS
Special Session on Evolutionary Computation in Wireless Communications
within The IEEE World Congress on Computational Intelligence (WCCI) 2024
IEEE WCCI 2024 is the world’s largest technical event on computational intelligence, featuring the three flagship conferences of the IEEE Computational Intelligence Society (CIS) under one roof: The International Joint Conference on Neural Networks (IJCNN), the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) and the IEEE Congress on Evolutionary Computation (IEEE CEC).
Scope and Motivation
Evolutionary computation is a computational paradigm inspired by the principles of biological evolution, and it has found applications in various fields, including wireless communications. Evolutionary algorithms simulate the process of natural selection, reproduction, and mutation to evolve solutions to optimization problems. In the context of wireless communications, evolutionary techniques are employed to optimize and adapt wireless systems to dynamic and complex environments. Wireless communication systems often face optimization challenges, such as resource allocation, power control, and network configuration. Evolutionary computation can optimize the allocation of resources like frequency bands, time slots, and power to maximize network performance and minimize interference. Wireless communication environments are dynamic and subject to changes in user demand, interference, and channel conditions. Evolutionary computation provides adaptive solutions that can continuously evolve and adjust to changing circumstances, making it well-suited for dynamic wireless scenarios. Many wireless communication problems involve multiple conflicting objectives, such as maximizing throughput while minimizing power consumption. Evolutionary computation excels in handling multi-objective optimization, offering a set of solutions representing trade-offs between conflicting goals (Pareto front). Research challenges still exist, including the need for efficient algorithms capable of handling real-time optimization, scalability for large-scale networks, and addressing diverse and evolving wireless communication standards. In this special session, we would like to invite worldwide researcher to share and present their latest research progresses on theory, methodology and application about evolutionary computation in wireless communications, including but not limited to evolutionary algorithms, machine learning and deep learning.
The topics of interest include, but are not limited to:
Evolutionary Algorithms in Wireless Communications
Artificial Intelligence in Wireless Communications
Deep Learning in Wireless Communications
Reinforcement Learning in Wireless Communications
Data-driven Methods in Wireless Communications
Evolutionary Applications in Wireless Communications
Dataset, Tools and Simulators for Evolutionary Computation in Wireless Communications
Submission Guide
Please follow the submission guideline from the IEEE WCCI 2024 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 Computation in Wireless Communications. All papers accepted and presented at WCCI2024 will be included in the conference proceedings published by IEEE Explore, which are typically indexed by EI.
Important Dates
15 January 2024: Paper Submission Deadline
15 March 2024: Paper Acceptance Notification
1 May 2024: Final Paper Submission & Early Registration Deadline
30 June – 5 July 2024: Conference Date
Best regards,
Weiwei Jiang
Beijing University of Posts and Telecommunications
We would like to cordially invite you to submit a paper to our special session on "Evolutionary Computation in Wireless Communications" for the The IEEE World Congress on Computational Intelligence (WCCI) 2024. Please find the description below:
- Conference website: https://2024.ieeewcci.org/
- Special Session website: https://jwwthu.github.io/WCCI2024.html
- Deadline: 15 January 2024
- Conference Location: Yokohama, Japan
- Conference Date: 30 June – 5 July 2024
CALL FOR PAPERS
Special Session on Evolutionary Computation in Wireless Communications
within The IEEE World Congress on Computational Intelligence (WCCI) 2024
IEEE WCCI 2024 is the world’s largest technical event on computational intelligence, featuring the three flagship conferences of the IEEE Computational Intelligence Society (CIS) under one roof: The International Joint Conference on Neural Networks (IJCNN), the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) and the IEEE Congress on Evolutionary Computation (IEEE CEC).
Scope and Motivation
Evolutionary computation is a computational paradigm inspired by the principles of biological evolution, and it has found applications in various fields, including wireless communications. Evolutionary algorithms simulate the process of natural selection, reproduction, and mutation to evolve solutions to optimization problems. In the context of wireless communications, evolutionary techniques are employed to optimize and adapt wireless systems to dynamic and complex environments. Wireless communication systems often face optimization challenges, such as resource allocation, power control, and network configuration. Evolutionary computation can optimize the allocation of resources like frequency bands, time slots, and power to maximize network performance and minimize interference. Wireless communication environments are dynamic and subject to changes in user demand, interference, and channel conditions. Evolutionary computation provides adaptive solutions that can continuously evolve and adjust to changing circumstances, making it well-suited for dynamic wireless scenarios. Many wireless communication problems involve multiple conflicting objectives, such as maximizing throughput while minimizing power consumption. Evolutionary computation excels in handling multi-objective optimization, offering a set of solutions representing trade-offs between conflicting goals (Pareto front). Research challenges still exist, including the need for efficient algorithms capable of handling real-time optimization, scalability for large-scale networks, and addressing diverse and evolving wireless communication standards. In this special session, we would like to invite worldwide researcher to share and present their latest research progresses on theory, methodology and application about evolutionary computation in wireless communications, including but not limited to evolutionary algorithms, machine learning and deep learning.
The topics of interest include, but are not limited to:
Evolutionary Algorithms in Wireless Communications
Artificial Intelligence in Wireless Communications
Deep Learning in Wireless Communications
Reinforcement Learning in Wireless Communications
Data-driven Methods in Wireless Communications
Evolutionary Applications in Wireless Communications
Dataset, Tools and Simulators for Evolutionary Computation in Wireless Communications
Submission Guide
Please follow the submission guideline from the IEEE WCCI 2024 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 Computation in Wireless Communications. All papers accepted and presented at WCCI2024 will be included in the conference proceedings published by IEEE Explore, which are typically indexed by EI.
Important Dates
15 January 2024: Paper Submission Deadline
15 March 2024: Paper Acceptance Notification
1 May 2024: Final Paper Submission & Early Registration Deadline
30 June – 5 July 2024: Conference Date
Best regards,
Weiwei Jiang
Beijing University of Posts and Telecommunications
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