Z
Zong Woo Geem
Researcher at Gachon University
Publications - 247
Citations - 18212
Zong Woo Geem is an academic researcher from Gachon University. The author has contributed to research in topics: Harmony search & Metaheuristic. The author has an hindex of 43, co-authored 198 publications receiving 15066 citations. Previous affiliations of Zong Woo Geem include Chung-Ang University & IGlobal University.
Papers
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Journal ArticleDOI
Generation of Synthetic Chest X-ray Images and Detection of COVID-19: A Deep Learning Based Approach
TL;DR: In this paper, an auxiliary classifier and a Generative Adversarial Network (GAN) were used to generate CXRs for detecting COVID-19 in radiographic images.
Journal ArticleDOI
Overview of Harmony Search algorithm and its applications in Civil Engineering
TL;DR: Harmony search (HS) is a meta-heuristic algorithm that allows a random search without initial values and removes the necessity for information of derivatives as mentioned in this paper, which has been applied to various research areas and the world wide attention on it has rapidly increased.
Book ChapterDOI
Recent Advances in Harmony Search
Zong Woo Geem,M. Fesanghary,Jeong-Yoon Choi,Mehmet Polat Saka,Justin C. Williams,M. Tamer Ayvaz,Sam Ryu +6 more
TL;DR: The harmony search is a music-inspired evolutionary algorithm, mimicking the improvisation process of music players, with theoretical background of stochastic derivative.
Journal ArticleDOI
An analysis of selection methods in memory consideration for harmony search
Mohammed Azmi Al-Betar,Mohammed Azmi Al-Betar,Ahamad Tajudin Khader,Zong Woo Geem,Iyad Abu Doush,Mohammed A. Awadallah +5 more
TL;DR: An analysis of some selection methods used in memory consideration of Harmony search (HS) Algorithm suggests that the optimal setting of the selection method parameters is crucial to improve the HS performance.
Journal ArticleDOI
Sustainability and Optimization: From Conceptual Fundamentals to Applications
TL;DR: The concept, definitions, and elements of the sustainability and optimization have been presented, and the review of the optimization metaheuristic algorithms used in recent published articles related to sustainability and sustainable development was carried out.