• A Collection of 30 Multidimensional Functions for Global Optimization Benchmarking 

      Plevris, Vagelis; Ramirez, German Solorzano (Data;, Peer reviewed; Journal article, 2022)
      A collection of thirty mathematical functions that can be used for optimization purposes is presented and investigated in detail. The functions are defined in multiple dimensions, for any number of dimensions, and can be ...
    • Computational intelligence methods in simulation and modeling of structures: A state-of-the-art review using bibliometric maps 

      Ramirez, German Solorzano; Plevris, Vagelis (Peer reviewed; Journal article, 2022)
      The modeling and simulation of structural systems is a task that requires high precision and reliable results to ensure the stability and safety of construction projects of all kinds. For many years now, structural engineers ...
    • Design of Reinforced Concrete Isolated Footings Under Axial Loading with Artificial Neural Networks 

      Ramirez, German Solorzano; Plevris, Vagelis (EUROGEN;Proceedings of the 14th International Conference on Evolutionary and Deterministic Methods For Design, Optimization and Control, Conference object, 2021)
      In engineering practice, the design of structural elements is a repetitive task that has proven to be difficult to fully automate. This is mainly because of the complex relations of the design variables and the multiple ...
    • Optimum Design of RC Footings with Genetic Algorithms According to ACI 318-19 

      Ramirez, German Solorzano; Plevris, Vagelis (Buildings;Volume 10, Issue 6, Journal article; Peer reviewed, 2020-06-11)
      Engineers usually use trial-and-error approaches for dealing with design problems where they need to find the most economical design of a structural element in terms of its material cost while satisfying all the safety ...
    • Prediction of the Eigenperiods of MDOF Shear Buildings Using Neural Networks 

      Plevris, Vagelis; Ramirez, German Solorzano (International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering;8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Conference object, 2021)
      The study of multi-degree of freedom (MDOF) systems is essential to evaluate and understand the seismic response of buildings. Through a MDOF idealization, the dynamic properties of the building such as its natural frequencies ...
    • Pure Random Orthogonal Search (PROS): A Plain and Elegant Parameterless Algorithm for Global Optimization 

      Plevris, Vagelis; Ramirez, German Solorzano (Applied Sciences;Volume 11 / Issue 11, Peer reviewed; Journal article, 2021-05-29)
      A new, fast, elegant, and simple stochastic optimization search method is proposed, which exhibits surprisingly good performance and robustness considering its simplicity. We name the algorithm pure random orthogonal search ...