In this novel article, a comparative study has been conducted between analytical and fractional solution of Fick’s first- second-order diffusion to model the solar drying process different products dryers under operating parameters. Laplace Laplace’s inverse transform have used obtain in function with two parameters: order index n time α above laws, their parameters non-linearly optimised using...

The customer churn is one of the key challenges for enterprises, and market saturation increased competition to maintain business position has caused companies make all attempts identify customers who are likely leave end their relationship with a company in particular period become another company. In recent years, many methods have been developed including data mining predicting manners that ...

In this work, a multi-objective hybrid optimizer is presented. The optimizer uses several multi-objective evolutionary optimization algorithms and orchestrates the application of these algorithms to multi-objective optimization problems, using an automatic internal switching algorithm. The switching algorithm is designed to favor those search algorithms that quickly improve the Pareto approxima...

This paper proposes improvements to the binary grey-wolf optimizer (BGWO) solve feature selection (FS) problem associated with high data dimensionality, irrelevant, noisy, and redundant that will then allow machine learning algorithms attain better classification/clustering accuracy in less training time.We propose three variants of BGWO addition standard variant, applying different transfer fu...

The Economic and Emission Dispatch (EED) method is widely used to optimize generator output in a power system. goal reduce fuel costs emissions, including carbon dioxide, sulphur nitrogen oxides, while maintaining balance adhering limit constraints. EED aims minimize emissions operating meeting demands. To solve the multi-objective problem, supply-demand optimization (SDO) algorithm proposed, w...

Abstract The computational cost of modern simulation-based optimization tends to be prohibitive in practice. Complex design problems often involve expensive constraints evaluated through Finite Element Analysis or other computationally intensive procedures. To speed up the process and deal with constraints, a new dimension-selection based constrained multi-objective (MOO) algorithm is developed...

The renewable energy resources depend on environmental concerns. Photovoltaic (PV) systems are an interesting form of resource. two main problems associated with PV nonuniformity irradiation and temperature change. achieving maximum power point tracking dependent electronics converters. Emissions a key challenge for the future conventional resources, which play important role in generation syst...

Artificial Neural Networks (ANNs) are utilized to solve a variety of problems in many domains. In this type network, training and selecting parameters that define networks architecture play an important role enhancing the accuracy network's output; Therefore, Prior training, those must be optimized. Grey Wolf Optimizer (GWO) has been considered one efficient developed approaches Swarm Intellige...