Flower pollination algorithm: a comprehensive review

M Abdel-Basset, LA Shawky - Artificial Intelligence Review, 2019 - Springer
Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its
metaphor from flowers proliferation role in plants. This paper provides a comprehensive …

Variants of the flower pollination algorithm: a review

ZAA Alyasseri, AT Khader, MA Al-Betar… - … -inspired algorithms and …, 2018 - Springer
The flower pollination algorithm (FPA) is a nature-inspired algorithm that imitates the
pollination behavior of flowering plants. Optimal plant reproduction strategy involves the …

Parameter estimation of photovoltaic modules using a hybrid flower pollination algorithm

S Xu, Y Wang - Energy Conversion and Management, 2017 - Elsevier
Building highly accurate model for solar cells and photovoltaic (PV) modules based on
experimental data is vital for the simulation, evaluation, control, and optimization of PV …

Carbon price forecasting based on modified ensemble empirical mode decomposition and long short-term memory optimized by improved whale optimization …

S Yang, D Chen, S Li, W Wang - Science of the Total Environment, 2020 - Elsevier
The accurate prediction of carbon prices poses a tremendous challenge to relevant industry
practitioners and governments. This paper proposes a novel hybrid model incorporating …

Hybrid metaheuristic algorithm using butterfly and flower pollination base on mutualism mechanism for global optimization problems

Z Wang, Q Luo, Y Zhou - Engineering with Computers, 2021 - Springer
The butterfly optimization algorithm (BOA) is a new metaheuristic algorithm that is inspired
from food foraging behavior of the butterflies. Because of its simplicity and effectiveness, the …

Predicting China's energy consumption using a novel grey Riccati model

W Wu, X Ma, Y Wang, W Cai, B Zeng - Applied Soft Computing, 2020 - Elsevier
This paper studies the China's oil consumption and the China's nuclear energy consumption
by a grey Riccati model. The newly developed model is analysed by the trapezoidal formula …

An oil imports dependence forecasting system based on fuzzy time series and multi-objective optimization algorithm: Case for China

H Yang, P Li, H Li - Knowledge-Based Systems, 2022 - Elsevier
Oil production and consumption is of great importance for the sustainable development and
management of energy and environment. The forecasting of oil imports dependence caused …

Incremental nonlinear trend fuzzy granulation for carbon trading time series forecast

S Xian, M Feng, Y Cheng - Applied Energy, 2023 - Elsevier
In addition to its important economic value, carbon trading is also an important tool in
international politics and diplomacy. Carbon price forecast accuracy has far-reaching …

A novel hybrid approach to forecast crude oil futures using intraday data

J Manickavasagam, S Visalakshmi… - … Forecasting and Social …, 2020 - Elsevier
Prediction of oil prices is an implausible task due to the multifaceted nature of oil markets.
This study presents two novel hybrid models to forecast WTI and Brent crude oil prices using …

[PDF][PDF] Feature Selection for Detecting ICMPv6-Based DDoS Attacks Using Binary Flower Pollination Algorithm.

AHB Aighuraibawi, S Manickam, R Abdullah… - Comput. Syst. Sci …, 2023 - researchgate.net
Internet Protocol version 6 (IPv6) is the latest version of IP that goal to host 3.4× 1038 unique
IP addresses of devices in the network. IPv6 has introduced new features like Neighbour …