Fruit Fly Optimization Algorithm

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 general knowledge of the foraging behaviour of fruit flies in Sect. 11.1. Then, the fundamentals and performance of FFOA are introduced in Sect. 11.2. Finally, Sect. 11.3 summarises this chapter.

[1]  東原 和成,et al.  Pheromone signaling : methods and protocols , 2013 .

[2]  Wen-Tsao Pan,et al.  A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example , 2012, Knowl. Based Syst..

[3]  Liu Cheng-zhong Fruit fly optimization algorithm with adaptive mutation , 2013 .

[4]  A. Kamikouchi,et al.  Analysis of the distribution of the brain cells of the fruit fly by an automatic cell counting algorithm , 2005 .

[5]  Wei-Yuan Lin,et al.  Using Fruit Fly Optimization Algorithm Optimized Grey Model Neural Network to Perform Satisfaction Analysis for E-Business Service , 2013 .

[6]  R. Chapman The Insects: Structure and Function , 1969 .

[7]  Nan Li,et al.  SVR Based on FOA and Its Application in Traffic Flow Predication , 2013 .

[8]  Umi Kalthum Ngah,et al.  A calibration framework for swarming ASVs’ system design , 2011 .

[9]  Shengyao Wang,et al.  A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem , 2013, Knowl. Based Syst..

[10]  Sen Guo,et al.  A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm , 2013, Knowl. Based Syst..

[11]  Huiru Zhao,et al.  Annual Electric Load Forecasting by a Least Squares Support Vector Machine with a Fruit Fly Optimization Algorithm , 2012 .

[12]  Yanjun Li,et al.  A Modified Fruit-Fly Optimization Algorithm aided PID controller designing , 2012, Proceedings of the 10th World Congress on Intelligent Control and Automation.

[13]  Ching-Ter Chang,et al.  A study on business performance with the combination of Z-score and FOAGRNN hybrid model , 2012 .

[14]  李楠,et al.  FOA-SVR在交通流预测中的研究 SVR Based on FOA and Its Application in Traffic Flow Predication , 2013 .