Differentiated Creative Search (DCS)

版本 1.0.0 (3.1 MB) 作者: Poomin Duankhan
The DCS algorithm leverages teamwork, creativity, and knowledge for superior optimization problem-solving.
0.0
(0)
87.0 次下载
更新时间 2024/3/20
在 GitHub 上查看许可证
This work introduces Differentiated Creative Search (DCS), a groundbreaking optimization algorithm that revolutionizes traditional decision-making systems in complex environments. Differing from conventional differential evolution methods, DCS integrates a unique knowledge-acquisition process with a creative realism paradigm, thereby transforming optimization strategies. The primary aim of DCS is to enhance decision-making efficacy by employing a newly proposed dual-strategy approach that balances divergent and convergent thinking within a team-based framework. High-performing members apply divergent thinking using the DCS/Xrand/Linnik(α,σ) strategy, which incorporates existing knowledge and Linnik flights. Conversely, the rest of the team harnesses convergent thinking through the DCS/Xbest/Current-to-2rand strategy, which combines insights from both the team leader and fellow members. This division of labor, coupled with a strategy tailored to the performance levels of team members, allows for a dynamic and effective decision-making process. The methodology of DCS involves iterative cycles of divergent and convergent thinking, supported by a differentiated knowledge-acquisition process and retrospective assessments.
Related Paper :
The Differentiated Creative search (DCS): Leveraging Differentiated knowledge-acquisition and Creative realism to address complex optimization problems. Available at https://doi.org/10.1016/j.eswa.2024.123734
Cite As :
Duankhan, P., Sunat, K., Chiewchanwattana, S., & Nasa-ngium, P. (2024). The Differentiated Creative Search (DCS): Leveraging Differentiated knowledge-acquisition and Creative realism to address complex optimization problems. Expert Systems with Applications, 123734. https://doi.org/10.1016/j.eswa.2024.123734

引用格式

Duankhan, P., Sunat, K., Chiewchanwattana, S., & Nasa-ngium, P. (2024). The Differentiated Creative Search (DCS): Leveraging Differentiated knowledge-acquisition and Creative realism to address complex optimization problems. Expert Systems with Applications, 123734. https://doi.org/10.1016/j.eswa.2024.123734

MATLAB 版本兼容性
创建方式 R2023a
兼容 R2021a 到 R2023b 的版本
平台兼容性
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

版本 已发布 发行说明
1.0.0

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。