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 review of metaheuristics in robotics
Metaheuristics have a substantial history in fine-tuning machine learning algorithms. They
gained tremendous popularity in many application domains. Robotics on the other hand is a …
gained tremendous popularity in many application domains. Robotics on the other hand is a …
Using modified fruit fly optimisation algorithm to perform the function test and case studies
WT Pan - Connection Science, 2013 - Taylor & Francis
Evolutionary computation is a computing mode established by practically simulating natural
evolutionary processes based on the concept of Darwinian Theory, and it is a common …
evolutionary processes based on the concept of Darwinian Theory, and it is a common …
Seasonal SVR with FOA algorithm for single-step and multi-step ahead forecasting in monthly inbound tourist flow
W Lijuan, C Guohua - Knowledge-Based Systems, 2016 - Elsevier
Accurate monthly inbound tourist flow forecasting can provide the reliable guidance for
better tourism planning and administration. However, it has been found that the monthly …
better tourism planning and administration. However, it has been found that the monthly …
Fruit fly optimization algorithm
B Xing, WJ Gao, B Xing, WJ Gao - … intelligence: a rough guide to 134 …, 2014 - Springer
In this chapter, we present a novel optimization algorithm called fruit fly optimization
algorithm (FFOA) which is inspired by the behaviour of fruit flies. We first describe the …
algorithm (FFOA) which is inspired by the behaviour of fruit flies. We first describe the …
Machine learning modeling of aerobic biodegradation for azo dyes and hexavalent chromium
The present study emphasizes the efficacy of a biosurfactant-producing bacterial strain
Klebsiella sp. KOD36 in biodegradation of azo dyes and hexavalent chromium individually …
Klebsiella sp. KOD36 in biodegradation of azo dyes and hexavalent chromium individually …
An application of fruit fly optimization algorithm for traveling salesman problem
In this study, an application of fruit fly optimization algorithm (FOA) is presented. FOA is one
of the recently proposed swarm intelligence optimization algorithms used to solve …
of the recently proposed swarm intelligence optimization algorithms used to solve …
Mixed modified fruit fly optimization algorithm with general regression neural network to build oil and gold prices forecasting model
WT Pan - Kybernetes, 2014 - emerald.com
Purpose–When facing a clouded global economy, many countries would increase their gold
reserves. On the other hand, oil supply and demand depends on the political and economic …
reserves. On the other hand, oil supply and demand depends on the political and economic …
Multi-Agent Robot Systems: Analysis, Classification, Applications, Challenges and Directions
AL De Sousa, AS De Oliveira… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The field of robotics was previously centered on applications involving individual robots.
Due to the expansion of high-tech industries and the ease of access to advanced …
Due to the expansion of high-tech industries and the ease of access to advanced …
A survey on fruit fly optimization algorithm
In this study one of the recent swarm optimization algorithms namely Fruit Fly Optimization
Algorithm (FOA) and some of its variants are investigated. FOA was suggested by PAN in …
Algorithm (FOA) and some of its variants are investigated. FOA was suggested by PAN in …