Abstract The Cuckoo Search algorithm is a recently developed meta-heuristic optimization
algorithm, which is used for solving optimization problems. This is a nature-inspired …

Extreme learning machine (ELM), which is a simple single-hidden-layer feed-forward neural
network with fast implementation, has been widely applied in many engineering fields …

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 …

In this paper, nonlinear time series analysis and short-term prediction of solar irradiation
were considered, simultaneously. The proposed methodology is to employ time series …

A robust computational design framework that couples the metaheuristic cuckoo search
technique with classical molecular dynamics simulations is employed to optimize the …

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

With the exponential growth of information in World Wide Web, extracting relevant
information from huge amount of data has become a critical task. Text summarization has …

Solar irradiance forecasting is an ongoing research area, because of the improved and
advanced utilization of renewable energy resource plenty of researchers have turned their …

Exponential growth of information in the web became infeasible for user to sieve useful
information very quickly. So solution to such problem now a day is text summarization. Text …