This paper proposes a novel nature-inspired meta-heuristic optimizer, called Reptile Search
Algorithm (RSA), motivated by the hunting behaviour of Crocodiles. Two main steps of …

A new optimization method namely the Search and Rescue optimization algorithm (SAR) is
presented here to solve constrained engineering optimization problems. This metaheuristic …

Predicting the penetration rate is a complex and challenging task due to the interaction
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …

Over past few decades, swarm intelligent algorithms based on the intelligent behaviors of
social creatures have been extensively studied and applied for all kinds of optimization …

Construction engineering and management are vital for successful project execution, and
both researchers and practitioners continually seek ways to improve construction processes …

The Aquila optimizer (AO) is a recently developed swarm algorithm that simulates the
hunting behavior of Aquila birds. In complex optimization problems, an AO may have slow …

Nature-inspired optimization algorithms have attracted significant attention from researchers
during the past decades due to their applicability to solving the challenging optimization …

Construction engineering and management (CEM) becomes more complex with increasing
project size and complexity. Various fuzzy hybrid techniques have been implemented to …

In this study, simultaneous size, shape, and topology optimization of planar and space
trusses are investigated. Moreover, the trusses are subjected to constraints for element …

Use of manufactured sand to replace natural sand is increasing in the last several decades.
This study is devoted to the assessment of using Principal Component Analysis (PCA) …