Recent developments in equilibrium optimizer algorithm: its variants and applications
There have been many algorithms created and introduced in the literature inspired by
various events observable in nature, such as evolutionary phenomena, the actions of social …
various events observable in nature, such as evolutionary phenomena, the actions of social …
Development and application of equilibrium optimizer for optimal power flow calculation of power system
This paper proposes an enhanced version of Equilibrium Optimizer (EO) called (EEO) for
solving global optimization and the optimal power flow (OPF) problems. The proposed EEO …
solving global optimization and the optimal power flow (OPF) problems. The proposed EEO …
Equilibrium optimizer: a comprehensive survey
Equilibrium optimizer (EO) is a recent optimization method inspired by the physical equation
of the mass balance that provides the conservation of mass entering, leaving, and …
of the mass balance that provides the conservation of mass entering, leaving, and …
[HTML][HTML] Predicting and validating the load-settlement behavior of large-scale geosynthetic-reinforced soil abutments using hybrid intelligent modeling
Settlement prediction of geosynthetic-reinforced soil (GRS) abutments under service loading
conditions is an arduous and challenging task for practicing geotechnical/civil engineers …
conditions is an arduous and challenging task for practicing geotechnical/civil engineers …
An adaptive tunicate swarm algorithm for optimization of shallow foundation
This paper aims to introduce an adaptive metaheuristic algorithm based on tunicate swarm
optimization (TSA) for effectively solving global optimization problems and the optimum …
optimization (TSA) for effectively solving global optimization problems and the optimum …
Hybrid ELM and MARS-based prediction model for bearing capacity of shallow foundation
The nature of soil varies horizontally as well as vertically, owing to the process of the
formation of soil. Thus, ensuring the safe design of geotechnical structures has been a major …
formation of soil. Thus, ensuring the safe design of geotechnical structures has been a major …
Liquefaction behavior of Indo-Gangetic region using novel metaheuristic optimization algorithms coupled with artificial neural network
The present research aims to co-relate the plasticity and liquefaction response of soil as well
as its significance in defining liquefaction probability. To accomplish this, metaheuristic …
as its significance in defining liquefaction probability. To accomplish this, metaheuristic …
Development of hybrid models using metaheuristic optimization techniques to predict the carbonation depth of fly ash concrete
Carbonation is one of the utmost serious issues affecting the long-term durability of
reinforced concrete. When H 2 O is present, a reaction between CO 2 gas and Ca (OH) 2 …
reinforced concrete. When H 2 O is present, a reaction between CO 2 gas and Ca (OH) 2 …
Evolving support vector regression based on improved grey wolf optimization for predicting settlement during construction of high-filled roadbed
D Liu, W Zhang, Y Tang, B **e, Q Shi, K Cao - Transportation Geotechnics, 2024 - Elsevier
The reconstruction and expansion of highways have become the dominant focus of current
infrastructure development. However, this process often results in significant differential …
infrastructure development. However, this process often results in significant differential …
Prediction of California bearing ratio using soil index properties by regression and machine-learning techniques
This study proposes regression and machine-learning techniques to develop a validated
model that predicts the California Bearing Ratio (CBR) values for subgrade soil using soil …
model that predicts the California Bearing Ratio (CBR) values for subgrade soil using soil …