Cuckoo search (CS) is a relatively new algorithm, developed by Yang and Deb in 2009, and
the same has been found to be efficient in solving global optimization problems. In this …

The increase in energy demand has made the renewable resources more attractive.
Representing the largest sources of renewable energy, solar and wind systems are …

In last 30 years, many metaheuristic algorithms have been developed to solve optimization
problems. However, most existing metaheuristic algorithms have extra control parameters …

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

A modified cuckoo search (CS) algorithm is proposed to solve economic dispatch (ED)
problems that have non-convex, non-continuous or non-linear solution spaces considering …

This article presents a novel tuning design of Proportional-Integral-Derivative (PID)
controller in the Automatic Voltage Regulator (AVR) system by using Cuckoo Search (CS) …

Unmanned aerial vehicles are applied extensively in various fields due to their advantages
of low-cost, high-maneuverability, and easy-operation. However, the path planning problem …

Satellite-retrieved and atmospheric reanalysis precipitation can bridge the spatiotemporal
gaps of in-situ gauging networks, but estimation biases can limit their reliable applications in …

This paper presents cuckoo search algorithm for solving both convex and nonconvex ED
(economic dispatch) problems of fossil fuel fired generators considering transmission losses …

To maximize the reliability of a system, the traditional reliability–redundancy allocation
problem (RRAP) determines the component reliability and level of redundancy for each …