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 …

Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of
bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf …

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 …

This paper presents a novel adaptive hybrid evolutionary firefly algorithm (AHEFA) for shape
and size optimization of truss structures under multiple frequency constraints. This algorithm …

In this manuscript, a new quantum computing-based optimization algorithm is proposed to
solve multiple-objective mixed cost-effective emission dispatch (MEED) problem of electrical …

In this research, we propose a facial expression recognition system with a variant of
evolutionary firefly algorithm for feature optimization. First of all, a modified Local Binary …

Capacitated facility location problem (CFLP) is a well-known combinatorial optimization
problem with applications in distribution and production planning that is classified as an NP …

Engineering design optimization in real life is a challenging global optimization problem,
and many meta-heuristic algorithms have been proposed to obtain the global best solutions …

The firefly algorithm (FA) is a nature-inspired heuristic optimization algorithm based on the
luminescence and attraction behavior of fireflies. Although the FA can effectively solve …

As two widely used evolutionary algorithms, particle swarm optimization (PSO) and firefly
algorithm (FA) have been successfully applied to diverse difficult applications. And extensive …