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The efficient and the economical operation of the power generation units constitutes one of the most important parts of energy engineering. Most of the studies done on this subject have focused on the meeting of the demanded power by the generated power and the minimization of the generation cost of the system. These kinds of problems are the optimization(More)
Gravitational Search Algorithm (GSA) is a newly heuristic algorithm inspired by nature which utilizes Newtonian gravity law and mass interactions. It has captured much attention since it has provided higher performance in solving various optimization problems. This study hybridizes the GSA and chaotic equations. Ten chaotic-based GSA (GSA-CM) methods, which(More)
This paper proposes incremental artificial bee colony with local search (IABCLS) to digital infinite impulse response (IIR) filter design for parameter identification. Unknown filter parameters are considered as a vector to be optimized. The basic version of ABC and three variants of ABC algorithms are also applied to filter design for comparison. The(More)
In this study, a multiobjective environmental economic power dispatch problem has been converted into a single-objective optimization problem using the weighted sum method. For the solution of the converted problem, the gravitational search algorithm (GSA), which is one of the latest algorithms, has been used. In order to increase the performance of the(More)
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