Metaheuristic algorithms are computational intelligence paradigms especially used for
sophisticated solving optimization problems. This chapter aims to review of all …

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 …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

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

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

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 optimisation algorithm, which simulates the
social behaviour of fireflies based on the flashing and attraction characteristics of fireflies …

Water quality is one of the most critical issues in reservoir management owing to its strong
effects on the natural environment and human life. This study establishes a machine …

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