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This paper presents a new approach to economic dispatch (ED) problems with nonsmooth cost functions using a particle swarm optimization (PSO) technique. The practical ED problems have nonsmooth cost functions with equality and inequality constraints that make the problem of finding the global optimum difficult using any mathematical approaches. In this… (More)

This paper presents an efficient approach for solving economic dispatch (ED) problems with nonconvex cost functions using an improved particle swarm optimization (IPSO). Although the particle swarm optimization (PSO) approaches have several advantages suitable to heavily constrained nonconvex optimization problems, they still can have the drawbacks such as… (More)

- Jong-Bae Park, Young-Moon Park, Jong-Ryul Won, Kwang Y. Lee
- 2000

This paper presents a development of an improved genetic algorithm (IGA) and its application to a least-cost generation expansion planning (GEP) problem. Least-cost GEP problem is concerned with a highly constrained nonlinear dynamic optimization problem that can only be fully solved by complete enumeration, a process which is computationally impossible in… (More)

- Yun-Won Jeong, Jong-Bae Park, Se-Hwan Jang, Kwang Y. Lee
- 2009 15th International Conference on Intelligent…
- 2009

-This paper proposes a new binary particle swarm optimization (BPSO) approach inspired from quantum computing, so-called quantum-inspired BPSO (QBPSO), for solving the unit commitment (UC) problems. Although BPSObased approaches have been successfully applied to the combinatorial optimization problems of power systems, the BPSO algorithm has some drawbacks… (More)

- Songhee Jeon, Sohee Kim, +4 authors Joobae Park
- The Journal of biological chemistry
- 2002

When we were studying phosphorylated proteins in the rat brain after electroconvulsive shock (ECS), we observed the rapid phosphorylation of a 75-kDa protein, which cross-reacted with the anti-phospho-p70 S6 kinase antibody. The phosphorylated protein was purified and identified as moesin, a member of the ezrin/radixin/moesin (ERM) family and a general… (More)

- Mi-Suk Kim, Hee-Jin Kwak, +9 authors Seung-Hoon Lee
- Molecular cancer research : MCR
- 2008

Hyaluronic acid (HA) has been implicated in cell adhesion, motility, and tumor progression in gliomas. We previously reported that HA stimulates secretion of matrix metalloproteinase-9 (MMP-9) and induces glioma invasion. However, the molecular mechanism of HA action and therapeutic strategies for blocking HA-induced MMP-9 secretion remain unknown. Here, we… (More)

- Jong-Bae Park, Ki-Song Lee, Kwang Y. Lee
- 2010

Absfmct-This paper presents a new approach to economic load dispatch (ELD) problems with non-smwth objective functions using a particle swarm optimization (PSO). In practice, ELD problems have non-smooth objective functions with equality and inequality constraints that make it difficult to find the global optimum using any mathematical approaches. In this… (More)

- R. K. Santhi, S. Subramanian, +5 authors Jong-Bae Park
- 2011

This paper presents a binary PSO based solution technique for power system unit commitment. The intelligent generation of initial population and the repairing mechanism ensure feasible solution that satisfies the spinning reserve and unit minimum up/down constraints. The algorithm adoptively adjusts the inertia weight and the acceleration coefficients in… (More)

- Yun-Won Jeong, Woo-Nam Lee, Hyun-Houng Kim, Jong-Bae Park, Joong-Rin Shin
- 2009

This paper presents a new approach for thermal unit commitment (UC) using a differential evolution (DE) algorithm. DE is an effective, robust, and simple global optimization algorithm which only has a few control parameters and has been successfully applied to a wide range of optimization problems. However, the standard DE cannot be applied to binary… (More)

- R. Anandhakumar, S. Subramanian, +6 authors Mohammad Shahidehpour
- 2011

This paper proposes an Artificial Bee Colony (ABC) algorithm to Generator Maintenance Scheduling (GMS) in competitive market. In the regulated market the problem of generating optimal maintenance schedules of generating units for the purpose of maximizing economic benefits and improving reliable operation of a power system, subject to satisfying system… (More)