The advancement in the field of aerospace has increased manifold over the past 4 decades with UAV design optimization being no exception. UAV Design and Optimization is a game of compromise. We cannot obtain a design which is best in each and every aspect. Over the years people have been using natured inspired algorithms to solve design optimization problems. This paper presents the application...

At present, workflow scheduling in cloud computing environment is still a challenging optimization topic due to its NP-complete characteristics. In order obtain better results, researchers are constantly coming up with new methods. this study, we offer hybrid metaheuristic for solving minimize the makespan of considering heterogeneity virtual resources. This approach combines excellent properti...

In this article, a new method termed the Taguchi-Pareto-Box Behnken design teaching learning-based optimization (TPBBD–TLBO) was developed to optimize boring process, which promotes surface roughness as output. At same time, speed, feed, and depth of cut are taken inputs. The case examines experimental data from literature on IS 2062 E250 steel plates. proposed draws recent idea that argues for...

In this paper the performance of four well-known metaheuristics consisting of Artificial Bee Colony (ABC), Biogeographic Based Optimization (BBO), Harmony Search (HS) and Teaching Learning Based Optimization (TLBO) are investigated on optimal domain decomposition for parallel computing. A clique graph is used for transforming the connectivity of a finite element model (FEM) into that of the cor...

A smart energy management controller can improve efficiency, save costs, and reduce carbon emissions consumption while accurately catering to consumer habits. Having integrated various renewable systems (RESs) a battery storage system (BSS), we proposed an optimization-based demand-side (DSM) scheduler (SEMC) for home. The suggested SEMC creates DSM-based operational plan regarding user-centere...