Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
In this paper, a novel swarm-based metaheuristic algorithm inspired from the behaviors of
beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …
beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm
Abstract Software Defect Estimation (SDE) is a fundamental problem solving mechanism in
the field of software engineering (SE). SDE is a task that identifies software models that are …
the field of software engineering (SE). SDE is a task that identifies software models that are …
Efficient decoupling-assisted evolutionary/metaheuristic framework for expensive reliability-based design optimization problems
Reliability-based design optimization (RBDO) algorithm is to minimize the objective under
the probabilistic factors. While gradient-based and classical evolutionary RBDO algorithms …
the probabilistic factors. While gradient-based and classical evolutionary RBDO algorithms …
Optimization and estimation in system reliability allocation problem
Designing an optimal reliability system with a minimum cost is one of the challenging
problems in engineering field over the years. Estimating the subsystem reliability and …
problems in engineering field over the years. Estimating the subsystem reliability and …
Reliability analysis based improved directional simulation using Harris Hawks optimization algorithm for engineering systems
In this paper, a new framework for accurate reliability analysis is proposed based on
improving the directional simulation by using metaheuristic algorithms. Usually for highly …
improving the directional simulation by using metaheuristic algorithms. Usually for highly …
Comprehensive learning Harris hawks-equilibrium optimization with terminal replacement mechanism for constrained optimization problems
C Zhong, G Li - Expert Systems with Applications, 2022 - Elsevier
Harris hawks optimization (HHO) is a novel metaheuristic algorithm which has strong
convergence for unconstrained optimization problems. However, HHO may encounter …
convergence for unconstrained optimization problems. However, HHO may encounter …
Accurate structural reliability analysis using an improved line-sampling-method-based slime mold algorithm
Line sampling (LS) is a robust and powerful simulation technique to reduce the
computational burden provided by Monte Carlo simulation (MCS) for the reliability analysis …
computational burden provided by Monte Carlo simulation (MCS) for the reliability analysis …
First-order reliability method based on Harris Hawks Optimization for high-dimensional reliability analysis
The first-order reliability method (FORM) is a prevalent method in the structural reliability
community. However, when solving the high-dimensional problem with a highly nonlinear …
community. However, when solving the high-dimensional problem with a highly nonlinear …
[HTML][HTML] River quality management: Integrating uncertainty, failure probability, and assimilation capacity
MD Darmian, B Schmalz - Ecological Informatics, 2024 - Elsevier
Managing river water quality is challenging due to uncertainties in hydraulic and hydrologic
parameters. This study integrates the symmetric exponential function (SEF) approach for …
parameters. This study integrates the symmetric exponential function (SEF) approach for …
[HTML][HTML] Heuristic algorithms for reliability estimation based on breadth-first search of a grid tree
X Chen, Z Xu, Y Wu, Q Wu - Reliability Engineering & System Safety, 2023 - Elsevier
A complete search of the input space is crucial for securing the accuracy of reliability
estimation, but conventional search algorithm-based methods require a large number of …
estimation, but conventional search algorithm-based methods require a large number of …