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
A New Heuristic Optimization Algorithm: Harmony Search
TL;DR: A new heuristic algorithm, mimicking the improvisation of music players, has been developed and named Harmony Search (HS), which is illustrated with a traveling salesman problem (TSP), a specific academic optimization problem, and a least-cost pipe network design problem.
Journal ArticleDOI
A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice
Kang-Seok Lee,Zong Woo Geem +1 more
TL;DR: A new harmony search (HS) meta-heuristic algorithm-based approach for engineering optimization problems with continuous design variables conceptualized using the musical process of searching for a perfect state of harmony using a stochastic random search instead of a gradient search.
Journal ArticleDOI
A new structural optimization method based on the harmony search algorithm
Kang-Seok Lee,Zong Woo Geem +1 more
TL;DR: A new structural optimization method based on the harmony search (HS) meta-heuristic algorithm, which was conceptualized using the musical process of searching for a perfect state of harmony to demonstrate the effectiveness and robustness of the new method.
Book
Optimal Design of Water Distribution Networks Using Harmony Search
TL;DR: In this article, a cost minimization model for the design of water distribution networks is presented, which uses a recently developed harmony search optimization algorithm while satisfying all the design constraints, including pipe diameters in a water distribution network.
Journal ArticleDOI
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer
S Jain,Laith Abualigah,Laith Abualigah,Mohamed Abd Elaziz,Putra Sumari,Zong Woo Geem,Amir H. Gandomi +6 more
TL;DR: In this paper, the authors proposed a novel nature-inspired meta-heuristic optimizer, called Reptile Search Algorithm (RSA), motivated by the hunting behaviour of Crocodiles.