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 …

This paper introduces a comprehensive and exhaustive overview of the cuckoo search
algorithm (CSA). CSA is a metaheuristic swarm-based approach established by Yang and …

Nature-inspired metaheuristic approaches draw their core idea from biological evolution in
order to create new and powerful competing algorithms. Such algorithms can be divided into …

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 …

Cuckoo search (CS) is a recently developed meta-heuristic, which has shown good search
abilities on many optimization problems. In this paper, we present a hybrid multi-objective …

This paper proposes a reconfiguration methodology based on a cuckoo search algorithm
(CSA) for minimizing active power loss and the maximizing voltage magnitude. The CSA …

The bearing vibration signal with strong non-stationary properties is normally composed of
multiple components (eg periodic impulses, background noise and other external signal) …

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

IoT-based systems are complex and dynamic aggregations of entities (Smart Objects) which
usually lack decentralized control. Swarm Intelligence systems are decentralized, self …