In this paper, a new bio-inspired meta-heuristic algorithm, named artificial rabbits
optimization (ARO), is proposed and tested comprehensively. The inspiration of the ARO …

A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is
proposed in this work to solve optimization problems. The AHA algorithm simulates the …

An original swarm-based, bio-inspired metaheuristic algorithm, named electric eel foraging
optimization (EEFO) is developed and tested in this work. EEFO draws inspiration from the …

A new bio-inspired optimization technique, named Manta Ray Foraging Optimization
(MRFO) algorithm, is proposed and presented, aiming to providing a novel algorithm that …

An original math-inspired meta-heuristic algorithm, named quadratic interpolation
optimization (QIO), is proposed to address numerical optimization and engineering issues …

A novel nature-inspired meta-heuristic optimization algorithm, named artificial ecosystem-
based optimization (AEO), is presented in this paper. AEO is a population-based optimizer …

A novel swarm intelligence optimization algorithm is proposed, which is named alpine skiing
optimization (ASO). The main inspiration of the ASO originated from the behaviors of skiers …

A novel metaheuristic optimization algorithm, named supply-demand-based optimization
(SDO), is presented in this paper. SDO is a swarm-based optimizer motivated by the supply …

The purpose of this book is to give a basic understanding of rotor dynamics phenomena with
the help of simple rotor models and subsequently, the modern analysis methods for real life …

At present, optimization algorithms are used extensively. One particular type of such
algorithms includes random-based heuristic population optimization algorithms, which may …