The purpose of this research was to determine whether particular biographic and academic characteristics would predict whether an applicant would matriculate into and successfully complete an online secondary teacher certification program. Results of statistical analyses conducted on 170 applicants over the past three years affirm the importance of the applicant’s performance on the state conte...

A well-known clustering algorithm is K-means. This algorithm, besides advantages such as high speed and ease of employment, suffers from the problem of local optima. In order to overcome this problem, a lot of studies have been done in clustering. This paper presents a hybrid Extended Cuckoo Optimization Algorithm (ECOA) and K-means (K), which is called ECOA-K. The COA algorithm has advantages ...

Biogeography-Based Optimization (BBO) has recently gained interest of researchers due to its simplicity in implementation, efficiency and existence of very few parameters. The BBO algorithm is a new type of optimization technique based on biogeography concept. This population-based algorithm uses the idea of the migration strategy of animals or other species for solving optimization problems. t...

Abstract For the design of wind turbines, airfoil optimization is widely required as operation efficiency turbines closely dependent on aerodynamic performance, where accuracy method great importance. In this paper, a machine learning-based algorithm proposed to improve performance. A low-speed NACA0012 selected original for optimization. The class-shape-transformation (CST) used construct geom...

Moth–flame optimization (MFO) is a prominent swarm intelligence algorithm that demonstrates sufficient efficiency in tackling various tasks. However, MFO cannot provide competitive results for complex problems. The sinks into the local optimum due to rapid dropping of population diversity and poor exploration. Hence, this article, migration-based moth–flame (M-MFO) proposed address mentioned is...

abstract this paper presents a multiobjective power control algorithm that updates the transmitted power based on local information. the proposed algorithm is expanded by using multiobjective optimization schemes. the objectives to be optimized in this paper are determined so as to reduce the sinr fluctuations as well as maintaining the sinr to an acceptable level with minimizing an average tra...

Many methods have been developed for structural size and configuration optimization in which cross-sectional areas are usually assumed to be continuous. In most practical structural engineering design problems, however, the design variables are discrete. This paper proposes two efficient structural optimization methods based on the harmony search (HS) heuristic algorithm that treat both discret...