Novel Hybrid Intelligence Techniques in Engineering

Dear Colleagues,

This Special Issue is devoted to the application of novel hybrid intelligence technologies in various engineering research fields. Artificial intelligence techniques perform automatic creation of analytical models that recognize patterns and make decisions without human interventions. Such techniques, due to creating complex relationships between dependent and independent variables, can be implemented in different areas of engineering. The successful use of base artificial intelligence techniques for solving regression, classification, and time series problems is highlighted in various engineering fields. However, the aforementioned base models may include some important shortcomings and disadvantages. To overcome these shortcomings and receive a higher accuracy level, hyper-parameters of the base models can be optimized using optimization and metaheuristic algorithms, which can add more value to commonly used base intelligence techniques and help them to become more interesting and practical.

The focus of this Special Issue is on the development of novel hybrid intelligence techniques for solving regression, classification, and time series problems. We invite researchers to contribute original research articles that will stimulate the continuing research effort on applications of novel hybrid intelligence techniques to assess/solve engineering problems. In addition, state-of-the-art research reports, reviews, and critical evaluations of hybrid intelligence techniques/algorithms are most welcome.

Dr. Danial Jahed Armaghani
Dr. Yixia Zhang
Dr. Pijush Samui
Prof. Dr. Ahmed Hussein Kamel Ahmed Elshafie
Dr. Aydin Azizi
Guest Editors

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