Binary aquila optimizer for selecting effective features from medical data: A COVID-19 case study
Medical technological advancements have led to the creation of various large datasets with
numerous attributes. The presence of redundant and irrelevant features in datasets …
numerous attributes. The presence of redundant and irrelevant features in datasets …
Discrete improved grey wolf optimizer for community detection
Detecting communities in real and complex networks is a highly contested topic in network
analysis. Although many metaheuristic-based algorithms for community detection have been …
analysis. Although many metaheuristic-based algorithms for community detection have been …
Life cycle cost‐based optimization framework for seismic design and target safety quantification of dual steel buildings with buckling‐restrained braces
This study proposes an efficient risk‐targeted framework for integrated optimal seismic
design and quantifying target safety of Special Moment‐Resisting Frames (SMRFs) with …
design and quantifying target safety of Special Moment‐Resisting Frames (SMRFs) with …
Performance-Based Design Optimization of Structures: State-of-the-Art Review
Performance-based design optimization (PBDO) aims to design safe, resilient, and cost-
effective structures. Methods used for PBDO have evolved by integrating numerical …
effective structures. Methods used for PBDO have evolved by integrating numerical …
Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete
Fiber-reinforced self-compacting concrete (FRSCC) is a typical construction material, and its
compressive strength (CS) is a critical mechanical property that must be adequately …
compressive strength (CS) is a critical mechanical property that must be adequately …
A Fast Frequency Sweep approach for performance-based optimization of earthquake-resistant irregular large-scale buildings
Abstract Performance-Based Design (PBD) optimization of buildings subjected to seismic
excitations has increasingly been applied to regular small-scale structural systems to …
excitations has increasingly been applied to regular small-scale structural systems to …
Optimum seismic design of frame structures with and without metallic yielding dampers considering life-cycle cost
SH Sanati, A Karamodin - Journal of Building Engineering, 2023 - Elsevier
This paper investigates the optimal design of steel moment-resisting frame (MRF) buildings,
with and without metallic yielding dampers, using a life-cycle cost (LCC)-based optimal …
with and without metallic yielding dampers, using a life-cycle cost (LCC)-based optimal …
Multi-Objective Optimization in Support of Life-Cycle Cost-Performance-Based Design of Reinforced Concrete Structures
Surveys on the optimum seismic design of structures reveal that many investigations focus
on minimizing initial costs while satisfying performance constraints. Although reducing initial …
on minimizing initial costs while satisfying performance constraints. Although reducing initial …
Develo** a framework for reliability-based seismic objective performance assessment: Implementation and application
The increasing demand for safer and more resilient structures seems to have significantly
impacted the design approaches and the development of new structural systems. As …
impacted the design approaches and the development of new structural systems. As …
Calculation of cracks in partially steel fiber reinforced concrete beams with BFRP bars
W Shen, S Chen, J Zhang - Advances in Materials Science and …, 2022 - Wiley Online Library
The effects of steel fiber volume rate and steel fiber concrete thickness on the crack
development and crack resistance of basalt fiber reinforced polymer (BFRP) beams were …
development and crack resistance of basalt fiber reinforced polymer (BFRP) beams were …