Denoising Brain Images with the Aid of Discrete Wavelet Transform and Monarch Butterfly Optimization with Different Noises
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical Systems"
DOI: 10.1007/s10916-018-1069-4
Abstract: The aim of this paper is to denoise the high noise density image proficiently with minimal computation cost using various techniques. This paper proposes an approach for image denoising based on Discrete Wavelet Transform (DWT)… read more here.
Keywords: wavelet transform; butterfly optimization; optimization; monarch butterfly ... See more keywords
Solving 0–1 knapsack problems by chaotic monarch butterfly optimization algorithm with Gaussian mutation
Sign Up to like & getrecommendations! Published in 2018 at "Memetic Computing"
DOI: 10.1007/s12293-016-0211-4
Abstract: Recently, inspired by the migration behavior of monarch butterflies in nature, a metaheuristic optimization algorithm, called monarch butterfly optimization (MBO), was proposed. In the present study, a novel chaotic MBO algorithm (CMBO) is proposed, in… read more here.
Keywords: monarch; butterfly optimization; monarch butterfly; optimization ... See more keywords
Improving monarch butterfly optimization through simulated annealing strategy
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-01702-y
Abstract: Currently, a novel of meta-heuristic algorithm called monarch butterfly optimization (MBO) is presented for solving machine learning and continuous optimization problems. It has been proved experimentally that MBO is superior to artificial bee colony algorithm… read more here.
Keywords: algorithm; butterfly optimization; monarch butterfly; optimization ... See more keywords
Multiobjective hybrid monarch butterfly optimization for imbalanced disease classification problem
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-019-01047-9
Abstract: Datasets obtained from the real world are far from balanced, particularly for disease datasets, since such datasets are usually highly skewed having a few minority classes apart from one or more prominent majority classes. In… read more here.
Keywords: disease datasets; butterfly optimization; monarch butterfly; multiobjective hybrid ... See more keywords
Energy efficient cluster based routing protocol for WSN using butterfly optimization algorithm and ant colony optimization
Sign Up to like & getrecommendations! Published in 2021 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2020.102317
Abstract: Abstract Wireless Sensor Networks (WSNs) consist of a large number of spatially distributed sensor nodes connected through the wireless medium to monitor and record the physical information from the environment. The nodes of WSN are… read more here.
Keywords: methodology; energy; butterfly optimization; optimization algorithm ... See more keywords
OEbBOA: A Novel Improved Binary Butterfly Optimization Approaches With Various Strategies for Feature Selection
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2985986
Abstract: Binary butterfly optimization approach (bBOA) is a recent high performing feature selection algorithm presented in 2018 which is based on the food foraging behavior of butterflies. This paper tries to improve the structure of the… read more here.
Keywords: optimization; butterfly optimization; feature selection; binary butterfly ... See more keywords
A Self-Adaption Butterfly Optimization Algorithm for Numerical Optimization Problems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2993148
Abstract: For shortcomings of poor exploaration and parameter complexities of the butterfly optimization algorithm, an improved butterfly optimization algorithm based the self-adaption method (SABOA) was proposed to extremely enhance the searching accuracy and the iteration capability.… read more here.
Keywords: optimization; self adaption; optimization algorithm; optimization problems ... See more keywords
An improved butterfly optimization algorithm and its application in cascade hydropower generation operation
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2023.026
Abstract: Cascade reservoir operation is an effective nonstructural countermeasure for water resources management. In recent years, many metaheuristic algorithms are introduced to handle reservoir optimal operation due to their strong search capability and high efficiency. The… read more here.
Keywords: optimization algorithm; operation; hydropower generation; cascade ... See more keywords
Improving Monarch Butterfly Optimization Algorithm with Self-Adaptive Population
Sign Up to like & getrecommendations! Published in 2018 at "Algorithms"
DOI: 10.3390/a11050071
Abstract: Inspired by the migration behavior of monarch butterflies in nature, Wang et al. proposed a novel, promising, intelligent swarm-based algorithm, monarch butterfly optimization (MBO), for tackling global optimization problems. In the basic MBO algorithm, the… read more here.
Keywords: monarch butterfly; self adaptive; optimization; butterfly optimization ... See more keywords
Multi-Objective Welding-Parameter Optimization Using Overlaid Contour Plots and the Butterfly Optimization Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Materials"
DOI: 10.3390/ma15134507
Abstract: Distortion and residual stress are two unwelcome byproducts of welding. The former diminishes the dimensional accuracy while the latter unfavorably affects the fatigue resistance of the components being joined. The present study is a multi-objective… read more here.
Keywords: optimization algorithm; multi objective; contour plots; butterfly optimization ... See more keywords