An improved version of butterfly optimization algorithm is employed for optimizing the system performance. The system efficiency is analyzed based on annual cost, exergy and energy efficiencies, and pollutant emission reduction. Final results illustrated that high relative humidity, pressure of inlet ...
This study proposes the BOAPPE algorithm, which combines the butterfly optimization algorithm (BOA) with the phasmatodea population evolution algorithm (PPE) to estimate power output better and reduce excessive cost waste. When used in conjunction with a support vector regression (SVR) model, such...
Li et al. proposed to integrate Tent chaotic mapping, nonlinear inertia weights and Gauss-Cauchy hybrid mutation strategy into the Gull algorithm to improve the computational accuracy and convergence speed of the algorithm7. Liu et al. proposed an improved butterfly optimization algorithm based on ...
SSA is a new heuristic algorithm with a simple structure, easy implementation, and strong search ability. At present, this algorithm and improved algorithms have been widely applied in various fields. We applied the improved algorithm to cluster head selection, attempting to find a cluster head set...
In this paper, a multi-objective integrated trajectory planning method based on an improved butterfly optimization algorithm (IBOA) is proposed, to improve the dynamic performance of the Delta parallel pickup robot in high-speed pick-and-place processes. The main objective of the present study is...
Inspired by the basic theory of Fruit Fly Optimization Algorithm, in this paper, cat mapping was added to the original algorithm, and the individual distribution and evolution mechanism of fruit fly population were improved in order to increase the search speed and accuracy. The flowchart of the ...
Recently, by examining and simulating the migration behavior of monarch butterflies in nature, Wang et al. proposed a new swarm intelligence-based metaheuristic algorithm, called monarch butterfly optimization (MBO), for addressing various global optimization tasks. The effectiveness of MBO was verified...
K. (2022). mLBOA: a modified butterfly optimization algorithm with lagrange interpolation for global optimization. Journal of Bionic Engineering, 19, 1161–1176. Google Scholar Chakraborty, S., Saha, A. K., Sharma, S., Chakraborty, R., & Debnath, S. (2021). A hybrid whale optimization...
The selected meta-heuristic algorithms include Whale Optimization Algorithm (WOA)48, Grey Wolf Optimizer (GWO)49, Hybrid Rice Optimization (HRO)50, Crayfish Optimization Algorithm (COA)51, Manta Ray Foraging Optimization (MRFO)41, Butterfly Optimization Algorithm (BOA)52, Coati Optimization Algorithm...
Subsequently, the Information Gain binary Butterfly Optimization Algorithm (IG-bBOA) was utilized for wrapper optimal feature subset selection. Finally, EIT-bBOA manually selected the top 30 features using an ensemble of ReliefF and Fisher score. The results underscored the effectiveness of EIT-b...