AbstractIn this paper, a novel functional network designing method based on cultural algorithm is proposed. This method can get the hybrid basis function and its parameters with optimal searching achieving the learning between functional network structure and the functional parameters, and each model of the initial set is evaluated by the adjusted  R squared criterion ) ( 2 a R , to find the o...

A hybrid algorithm using GA and heuristics for rapid solution of Travelling Salesperson Problems (TSP) is presented. We developed a JAVA program based on this algorithm. Visiting our web pages, everyone can easily try our TSP solver. Since JAVA programs are executable on many platforms, any one who design a new TSP algorithm can compare his own solver and ours on the same machine. Using our pro...

Considering today's conditions and the sudden emergence of an epidemic disease, internet commerce has necessarily increased. This situation led to diversification vendors increase in their number different sectors. The sellers made it difficult for customers decide which product buy from seller how. For this reason, marketplace sites were examined most important criteria affecting preferences d...

In this paper, the reasons for bandwidth and wavelength utilization in future next-generation passive optical networks are presented, possibilities realization of extended dynamic algorithms second (NG-PON2) analyzed. Next, principles effective allocation introduced detail, focused on importance decision criterion optimization. To achieve a better dedicated wavelengths NG-PON2 networks, paper i...

This paper studies power management in a grid-tied hybrid energy system consisting of photovoltaic array, wind turbine, fuel cell, electrolyzer, hydrogen storage tank and a combinational heating system to supply the thermal and electrical demand of a building. Moreover, the hybrid system is capable of exchanging power with local grid. Thus, variable daily buying and selling tariffs are also tak...

Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...