Particle swarm optimization algorithm and its applications: a systematic review
AG Gad - Archives of computational methods in engineering, 2022 - Springer
Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
Advances in sine cosine algorithm: a comprehensive survey
Abstract The Sine Cosine Algorithm (SCA) is a population-based optimization algorithm
introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions …
introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions …
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
The advance rate (AR) of a tunnel boring machine (TBM) in hard rock condition is a key
parameter for the successful accomplishment of a tunneling project, and the proper and …
parameter for the successful accomplishment of a tunneling project, and the proper and …
[HTML][HTML] Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques
A reliable and accurate prediction of the tunnel boring machine (TBM) performance can
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
An opposition-based sine cosine approach with local search for parameter estimation of photovoltaic models
Identifying the optimum parameters of photovoltaic models based on the measured current-
voltage info is a vital step in monitoring, simulating, and optimizing the photovoltaic systems …
voltage info is a vital step in monitoring, simulating, and optimizing the photovoltaic systems …
A hybrid self-adaptive sine cosine algorithm with opposition based learning
Real-world optimization problems demand an efficient meta-heuristic algorithm which
maintains the diversity of solutions and properly exploits the search space of the problem to …
maintains the diversity of solutions and properly exploits the search space of the problem to …
A comprehensive survey of sine cosine algorithm: variants and applications
Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm
J **a, D Yang, H Zhou, Y Chen, H Zhang, T Liu… - Computers in Biology …, 2022 - Elsevier
Kernel extreme learning machine (KELM) has been widely used in the fields of classification
and identification since it was proposed. As the parameters in the KELM model have a …
and identification since it was proposed. As the parameters in the KELM model have a …
A novel chaotic Runge Kutta optimization algorithm for solving constrained engineering problems
This study proposes a novel hybrid metaheuristic optimization algorithm named chaotic
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …
Designing of optimal digital IIR filter in the multi-objective framework using an evolutionary algorithm
S Chauhan, M Singh, AK Aggarwal - Engineering Applications of Artificial …, 2023 - Elsevier
In this work, an optimization technique ie diversity-driven multi-parent evolutionary algorithm
with adaptive non-uniform mutation (DDMPEA-ANUM) has been used to design a digital IIR …
with adaptive non-uniform mutation (DDMPEA-ANUM) has been used to design a digital IIR …