This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-
heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration …

Cuckoo search (CS) is one of the well-known evolutionary techniques in global optimization.
Despite its efficiency and wide use, CS suffers from premature convergence and poor …

Nimonic C263, a nickel-based superalloy, finds extensive application in manufacturing of
complex parts in gas turbine, aircraft and automotive industries exclusively for exhaust …

The paper presents a unified approach for the a posteriori generation of arbitrary high-order
curvilinear meshes via a solid mechanics analogy. The approach encompasses a variety of …

Since the development of cuckoo search (CS) by Yang and Deb in 2009, CS has been
applied in a diverse range of applications. This paper first outlines the key features of the …

Integrating solar energy into the electricity grid is an important but challenging task.
Forecasting errors can not only break the supply–demand balance but also cause additional …

Cuckoo Search (CS) algorithm has shortcomings of weak local search ability, slow
convergence speed, and low accuracy. In order to overcome these disadvantages, an …

This paper presents intelligent multiple search strategy algorithm (IMSS) as a new
modification of cuckoo search (CS) to improve performance of the conventional algorithm …

The cuckoo search (CS) algorithm combined with Broyden-Fletcher-Goldfarb-Shanno
(BFGS) algorithm (CS-BFGS) is proposed to identify time-dependent boundary conditions for …

Over the past decade there has been a surge in the interest, both academic and commercial,
in supersonic and hypersonic passenger transport. This paper outlines an original approach …