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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.

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Wastewater Treatment Optimization for Fish Migration Using Harmony Search

TL;DR: In this paper, the authors constructed a wastewater treatment optimization model for migratory fish, which considers three costs (filtration cost, nitrification cost, and irrigation cost) and two environmental constraints (minimal dissolved oxygen level and maximal nitrate-nitrogen concentration).
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A Memetic Approach for Improving Minimum Cost of Economic Load Dispatch Problems

TL;DR: Wang et al. as mentioned in this paper proposed a memetic algorithm scheme combining metaheuristic algorithm and gradient-based technique to find better solutions for an economic load dispatch problem with valve-point loading.
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A Novel Protection Scheme for Solar Photovoltaic Generator Connected Networks Using Hybrid Harmony Search Algorithm-Bollinger Bands Approach

TL;DR: A hybrid Harmony Search Algorithm-Bollinger Bands (HSA-BB) method is proposed to solve the relay coordination problem for solar photovoltaic generator (SPVG)-connected networks, and the effectiveness of the proposed method is compared with the genetic algorithm, particle swarm optimization, cuckoo search algorithm, HSA and hybrid GA-nonlinear programming method.
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Interpretable Machine Learning Algorithms to Predict the Axial Capacity of FRP-Reinforced Concrete Columns

TL;DR: Eight ML models, namely, Kernel Ridgeregression, Lasso Regression, Support Vector Machine, Gradient Boosting Machine, Adaptive Boosting, Random Forest, Categorical Gradientboosting, and Extreme Gradients Boosting are used in this study for capacity prediction and their relative performances are compared to identify the best-performing ML model.
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Optimal Design of a Residential Photovoltaic Renewable System in South Korea

Hyunkyung Shin, +1 more
- 18 Mar 2019 - 
TL;DR: In this paper, an optimal design model for residential photovoltaic (PV) systems in South Korea was proposed, where the objective function is composed of three costs, including the monthly electricity bill, the PV system construction cost (including the government subsidy), and the maintenance cost.