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近日，收到RACSC期刊發(fā)來的卓越審稿人證書：
此外，還在該期刊申請(qǐng)了nature-inspired algorithm and their applications 的特別編輯，歡迎大家投稿：
BMS-RACSC-2022-HT-92
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BMS-RACSC-2022-HT-92
Summary
Along with the development of science and technology in our world, we are facing more and more complicated problems in both dimensionality and scalability. Analytical solutions might be no longer accessible, on the contrary, stochastic methods played a more important role in such conditions. Being metaheuristic, nature-inspired algorithms have been proven to be efficient and easy to find the best solutions for the most complicated problems. More than three hundred of them have been proposed, yet none of them could solve all of the existing problems causing the No Free Lunch (NFL) theorem. We are still in demand of new algorithms, even their improvements. And more applications were introduced to verify their capabilities.
Scope of the Thematic issue.
The aim of this thematic issue is to bring together the research accomplishments provided by researchers from academia and the industry. The other goal is to show the latest research results in the field of nature-inspired algorithms and understand how they work in both benchmark functions and the real-world engineering problems, including their improvements in capabilities. We encourage prospective authors to submit related distinguished research papers on the subject of both: theoretical approaches and practical case reviews.
注意：該期刊為EI-JA檢索期刊，非SCI檢索，目前感覺整體審稿進(jìn)度也不算快，投稿時(shí)有OA選項(xiàng)。
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