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 paper, we define the mathematical model of a tri-objective fuzzy agricultural food load planning problem, which is a blend of the multi-objective optimization, the multidimensional knapsack problem, and the multiple knapsack problem under fuzziness. For the imprecise model, profit and shelf life for each agricultural food product are fuzzified and represented by triangular fuzzy numbers...

This article presents the results of measuring Pst indicators at three points a power system supplying large source voltage disturbances—an arc furnace. Measurements were made levels: 30, 110, and 400 kV. Recorded values each point subjected to statistical analysis, probability distributions adjusted their histograms, nature changes in basic parameters these with distance from disturbances was ...

Optimum design of steel frames is a complicated process because the designer has to consider a large number of nonlinear constraints which are imposed by steel design codes while also dealing with discrete design variables. Obtaining the optimum solution to discrete programming problems was never easy until the emergence of metaheuristic techniques. The firefly algorithm, one of the recent meta...

This paper proposes a meta-heuristic Multi-Population Firefly Algorithm (MPFA) for single-modal optimization using two multi-population models, i.e., one is based on the island model while the other on the mainland-island model. The unique characteristics of each sub-population is evolved independently and the diversity of the entire population is effectively increased. Sub-populations communic...