Parameter estimation of photovoltaic models using an improved marine predators algorithm
M Abdel-Basset, D El-Shahat, RK Chakrabortty… - Energy Conversion and …, 2021 - Elsevier
The abundance of solar energy as one of the clean energy forms offers a great advantage
as an alternative to non-renewable energy sources. The photovoltaic system is a promising …
as an alternative to non-renewable energy sources. The photovoltaic system is a promising …
Evolving support vector machines using fruit fly optimization for medical data classification
L Shen, H Chen, Z Yu, W Kang, B Zhang, H Li… - Knowledge-Based …, 2016 - Elsevier
In this paper, a new support vector machines (SVM) parameter tuning scheme that uses the
fruit fly optimization algorithm (FOA) is proposed. Termed as FOA-SVM, the scheme is …
fruit fly optimization algorithm (FOA) is proposed. Termed as FOA-SVM, the scheme is …
A systematic review on fruit fly optimization algorithm and its applications
Abstract Fruit Fly Optimization Algorithm (FOA) is a metaheuristic algorithm inspired by fruit
fly foraging behaviours. A large numbers of variants of FOA have been proposed by many …
fly foraging behaviours. A large numbers of variants of FOA have been proposed by many …
Binary artificial algae algorithm for feature selection
In this study, binary versions of the Artificial Algae Algorithm (AAA) are presented and
employed to determine the ideal attribute subset for classification processes. AAA is a …
employed to determine the ideal attribute subset for classification processes. AAA is a …
A hybrid model based on general regression neural network and fruit fly optimization algorithm for forecasting and optimizing paclitaxel biosynthesis in Corylus …
Background Paclitaxel is a well-known chemotherapeutic agent widely applied as a therapy
for various types of cancers. In vitro culture of Corylus avellana has been named as a …
for various types of cancers. In vitro culture of Corylus avellana has been named as a …
An improved fruit fly optimization algorithm for continuous function optimization problems
This paper presents an improved fruit fly optimization (IFFO) algorithm for solving continuous
function optimization problems. In the proposed IFFO, a new control parameter is introduced …
function optimization problems. In the proposed IFFO, a new control parameter is introduced …
Chaotic fruit fly optimization algorithm
Fruit fly optimization algorithm (FOA) is recently presented metaheuristic technique that is
inspired by the behavior of fruit flies. This paper improves the standard FOA by introducing …
inspired by the behavior of fruit flies. This paper improves the standard FOA by introducing …
A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features
H Huang, X Feng, S Zhou, J Jiang, H Chen, Y Li… - BMC bioinformatics, 2019 - Springer
Background It is of great clinical significance to develop an accurate computer aided system
to accurately diagnose the breast cancer. In this study, an enhanced machine learning …
to accurately diagnose the breast cancer. In this study, an enhanced machine learning …
Support vector regression with fruit fly optimization algorithm for seasonal electricity consumption forecasting
G Cao, L Wu - Energy, 2016 - Elsevier
Accurate monthly electricity consumption forecasting can provide the reliable guidance for
better energy planning and administration. However, it has been found that the monthly …
better energy planning and administration. However, it has been found that the monthly …
A binary moth search algorithm based on self-learning for multidimensional knapsack problems
A key issue for moth search algorithm (MS) is the ability to maintain sufficient diversity in the
population so as to be able to track a dynamically changing landscape. However, for the …
population so as to be able to track a dynamically changing landscape. However, for the …