This paper presents an efficient and reliable evolutionary based approach to solve the optimal power flow (OPF) problem in the presence of static synchronous series compensator (SSSC). The firefly algorithm (FFA) is developed by using principle of firefly swarm. The approach has been tested on IEEE 30bus system with and without SSSC. The results show that FFA algorithm with SSSC gives better pe...

Automatic facial expression recognition plays an important role in various application domains such as medical imaging, surveillance and human-robot interaction. This research presents a novel facial expression recognition system with modified Local Binary Patterns (LBP) for feature extraction and a modified firefly algorithm (FA) for feature optimization. First, in order to deal with illuminat...

In this work, firefly algorithm (FA) is used in training feed-forward neural networks (FNN) for classification purpose. In experiments, three well-known classification problems have been used to evaluate the performance of the proposed FA. The experimental results obtained by FA were compared with the results reported by artificial bee colony (ABC) algorithm and genetic algorithm (GA). Also, si...

Kedua jenis ilmu kesehatan dan lainnya dalam bidang yang berbeda, saling berinteraksi. Teknologi kedokteran berkembang sangat pesat konteks pelayanan memiliki standar minimal. Sistem penjadwalan pasien operasi di rumah sakit merupakan salah satu permasalahan kompleks. Efisiensi diperlukan untuk mencegah keterlambatan atau pembatalan operasi. Tujuan dari penelitian ini adalah memecahkan masalah ...

The firefly algorithm (FA), which is usually used in optimization problems, is a stochastic, population-based algorithm inspired by the intelligent, collective behavior of fireflies in nature. In the standard FA, each firefly in each neighborhood is compared with other fireflies, and the less-bright firefly moves toward the brighter one (in the maximization optimization). In fact, in the standa...