Firefly algorithm is a swarm based metaheuristic algorithm designed for continuous
optimization problems. It works by following better solutions and also with a random search …

The selection of algorithm is the most critical part in the mobile robot path planning. At
present, the commonly used algorithms for path planning are genetic algorithm (GA), ant …

Extracting relevant information from a large amount of data is a challenging task. Automatic
text summarization is a potential solution for obtaining this information. In this paper, a …

Firefly algorithm is a nature-inspired metaheuristic algorithm inspired by the flashing
behavior of fireflies. It is originally proposed for continuous problems. However, due to its …

Metaheuristics under the swarm intelligence (SI) class have proven to be efficient and have
become popular methods for solving different optimization problems. Based on the usage of …

Air pollution in cities is a serious environmental issue. In Turkey, the air quality index values
of the measurement stations are calculated according to European Union standards. There …

This paper presents the enhancement of the output performance of a non-linear fuel cell
(FC) system using a new design that comprises an adaptive SIMO-PID neural controller with …

This paper proposes an on-line adaptive digital Proportional Integral Derivative (PID) control
algorithm based on Field Programmable Gate Array (FPGA) for Proton Exchange Membrane …

This paper proposes an off-line adaptive digital Proportional Integral Derivative (PID) control
algorithm based on Field Programmable Gate Array (FPGA) for Proton Exchange Membrane …

Résumé De nombreux algorithmes et métaheuristiques pour l'optimisation s' inspirent de la
nature, par exemple l'algorithme d'optimisation de l'essaim de particules et l'algorithme des …