Firefly Algorithm (FA) is one of the popular algorithm of Swarm Intelligence domain that can
be used in most of the areas of optimization. FA and its variants are simple to implement and …

The firefly algorithm has become an increasingly important tool of Swarm Intelligence that
has been applied in almost all areas of optimization, as well as engineering practice. Many …

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all
major nature-inspired algorithms for optimization. The book's unified approach, balancing …

Nature-inspired metaheuristic algorithms, especially those based on swarm intelligence,
have attracted much attention in the last ten years. Firefly algorithm appeared in about five …

Firefly algorithm (FA) is a new meta-heuristic which is successfully applied to solve several
optimization problems. However, it suffers from a drawback of easily getting stuck at local …

PV characteristic of the solar cells are nonlinear and depends on the environmental
conditions such as irradiations, sunlight incident angle, cell temperature, and load …

In recent decades, researches on optimizing the parameter of the artificial neural network
(ANN) model has attracted significant attention from researchers. Hybridization of superior …

Firefly algorithm (FA) was developed by Xin-She Yang in 2008, while cuckoo search (CS)
was developed by Xin-She Yang and Suash Deb in 2009. Both algorithms have been found …

Path planning for uninhabited combat air vehicle (UCAV) is a complicated high dimension
optimization problem, which mainly centralizes on optimizing the flight route considering the …

Since the past decades, most of the nature inspired optimization algorithms (NIOA) have
been developed and become admired due to their effectiveness for resolving a variety of …