abstract: regarding the growing use of distributed generation resources, optimal design of these units is necessary in the power system especially in the distribution network. in this paper, cuckoo optimization algorithm with multiple purposes was used to determine optimal location and size of distributed generation resources. the investigated purposes include reducing line losses, reducing med...

High performance concrete is designed to meets special requirements such as high strength, high flowability, and high durability in large scale concrete construction. To obtain such performance many trial mixes are required to find desired combination of materials and there is no conventional way to achieve proper mix proportioning. Genetic algorithm is a global optimization technique based ...

Aqueous solubility is an important property for conducting chemical reactions of the compound. In this research, we develop several machine learning models predicting aqueous reaction molecules. The open public dataset, AqSolDB, was used model development which contains 9982 data on molecule solubility. Several regression were trained dataset and their performance evaluated using mean absolute ...

A new hybrid algorithm of Particle Swarm Optimization and Genetic Algorithm (PSOGA) is presented to get the optimum design of truss structures with discrete design variables. The objective function chosen in this paper is the total weight of the truss structure, which depends on upper and lower bounds in the form of stress and displacement limits. The Particle Swarm Optimization basically model...

background: polycystic ovary syndrome (pcos) is a complex disease having both genetic and environmental components and candidate genes on obesity and insulin metabolism have been hypothesized to be involved in its etiology. objective: we examined the possible association of adiponectin and insulin receptor gene polymorphisms with pcos. materials and methods: a total of 186 women with pcos using...