What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Mechanical engineering
Zong Woo Geem mostly deals with Harmony search, Mathematical optimization, Metaheuristic, Artificial intelligence and Search algorithm.
His Harmony search research incorporates elements of Genetic algorithm, Sensitivity, Nonlinear system, Evolutionary algorithm and Optimization problem.
His research investigates the connection between Evolutionary algorithm and topics such as Combinatorial optimization that intersect with issues in Function, Continuous function, Global optimization, Multi-swarm optimization and Test functions for optimization.
Zong Woo Geem combines subjects such as Coding and Crossover with his study of Mathematical optimization.
The study incorporates disciplines such as Continuous optimization and Tabu search in addition to Metaheuristic.
His Artificial intelligence research is multidisciplinary, incorporating elements of Musical instrument, Pipe network analysis, Differential calculus and Variable.
His most cited work include:
- A New Heuristic Optimization Algorithm: Harmony Search (3908 citations)
- A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice (1369 citations)
- A new structural optimization method based on the harmony search algorithm (890 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Harmony search, Mathematical optimization, Artificial intelligence, Metaheuristic and Algorithm.
The Harmony search study combines topics in areas such as Evolutionary algorithm, Genetic algorithm, Optimization problem and Search algorithm.
Zong Woo Geem combines subjects such as Simulated annealing and Particle swarm optimization with his study of Genetic algorithm.
His biological study spans a wide range of topics, including Estimation theory and Nonlinear system.
His research in Artificial intelligence intersects with topics in Machine learning and Pattern recognition.
His works in Meta-optimization and Derivative-free optimization are all subjects of inquiry into Metaheuristic.
He most often published in these fields:
- Harmony search (63.64%)
- Mathematical optimization (33.16%)
- Artificial intelligence (24.06%)
What were the highlights of his more recent work (between 2018-2021)?
- Harmony search (63.64%)
- Artificial intelligence (24.06%)
- Feature selection (5.88%)
In recent papers he was focusing on the following fields of study:
Zong Woo Geem mainly investigates Harmony search, Artificial intelligence, Feature selection, Metaheuristic and Mathematical optimization.
He has included themes like Optimization problem, Optimal design, Reinforced concrete and Control theory in his Harmony search study.
His Artificial intelligence study incorporates themes from Machine learning and Pattern recognition.
His study in Feature selection is interdisciplinary in nature, drawing from both Algorithm, Hill climbing, Meta heuristic and Feature vector.
His Metaheuristic study integrates concerns from other disciplines, such as Management science, Fuzzy control system, Fuzzy logic, Engineering optimization and Evolutionary computation.
His multidisciplinary approach integrates Mathematical optimization and Distribution system in his work.
Between 2018 and 2021, his most popular works were:
- Large-scale combined heat and power economic dispatch using a novel multi-player harmony search method (38 citations)
- Review of harmony search with respect to algorithm structure (30 citations)
- A Comprehensive Survey of the Harmony Search Algorithm in Clustering Applications (26 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Mechanical engineering
Zong Woo Geem spends much of his time researching Harmony search, Artificial intelligence, Feature selection, Mathematical optimization and Metaheuristic.
His Harmony search research integrates issues from Pile, Structural engineering, Control theory, Tuned mass damper and PID controller.
The Deep learning, Evolutionary algorithm and Supervised learning research Zong Woo Geem does as part of his general Artificial intelligence study is frequently linked to other disciplines of science, such as Ring theory, therefore creating a link between diverse domains of science.
His Feature selection research is multidisciplinary, relying on both Feature vector, Applications of artificial intelligence, Statistics and Algorithm, Hill climbing.
Zong Woo Geem brings together Mathematical optimization and Plane stress to produce work in his papers.
The various areas that Zong Woo Geem examines in his Metaheuristic study include Optimization algorithm and Sustainable energy.
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