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 …

Advances in dataset collection and machine learning (ML) algorithms are important
contributors to the stability analysis in industrial engineering, especially to slope stability …

Many optimization algorithms have been developed by drawing inspiration from swarm
intelligence (SI). These SI-based algorithms can have some advantages over traditional …

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

Understanding shear behavior is crucial for the design of reinforced concrete beams and
sustainability in construction and civil engineering. Although numerous studies have been …

Histogram based multilevel thresholding approach is proposed using Brownian distribution
(BD) guided firefly algorithm (FA). A bounded search technique is also presented to improve …