Structural health monitoring plays an increasingly significant role in detecting damages for
large and complex structures to ensure their serviceability and sustainability. Optimal sensor …

The firefly algorithm is a member of the swarm intelligence family of algorithms, which have
recently showed impressive performances in solving optimization problems. The firefly …

A novel metaheuristic called Chaotic Marine Predators Algorithm (CMPA) is proposed and
investigated for the optimization of engineering problems. CMPA integrates the exploration …

Abstract Salp Swarm Algorithm (SSA) is one of the most recently proposed algorithms driven
by the simulation behavior of salps. However, similar to most of the meta-heuristic …

Crow search algorithm (CSA) is a new natural inspired algorithm proposed by Askarzadeh
in 2016. The main inspiration of CSA came from crow search mechanism for hiding their …

The honey badger algorithm (HBA) is a meta-heuristic optimization algorithm that simulates
the foraging behavior of honey badgers. Since the algorithm is prone to premature …

Grasshopper optimization algorithm (GOA) is a new meta-heuristic algorithm inspired by the
swarming behavior of grasshoppers. The present study introduces chaos theory into the …

FANET (flying ad-hoc networks) is currently a trending research topic. Unmanned aerial
vehicles (UAVs) have two significant challenges: short flight times and inefficient routing due …

This work proposed a new metaheuristic dubbed as Chaotic Lévy flight distribution (CLFD)
algorithm, to address physical world engineering optimization problems that incorporate the …

This study proposes a novel hybrid metaheuristic optimization algorithm named chaotic
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …