Optimization algorithmFruit fly optimization algorithm (FOA)Hybrid adaptive-cooperative learning methodMultilevel image thresholdingMultilevel thresholding is widely exploited in image processing, however, most of the techniques are time-consuming. In this paper, we present a novel approach, multilevel ...
In this manuscript, an upgraded Fruit Fly Optimization Algorithm (FFOA) is proposed for optimising task scheduling and resource management processes. The proposed FOA algorithm is utilized to address the issues. In the proposed algorithm, every solution is represented by fruit fly. Every fruit fly ...
Keywords:cloudmodel;adaptive;FruitFlyOptimizationAlgorithm(FOA);convergenceprecision 摘要:针对基本果蝇优化算法因参数选取不当而导致的收敛精度偏低且不稳定的问题,提出了自适应调整参数的 果蝇优化算法(FOAwithAdaptiveParameter,FOAAP)。该算法在每个进化代输入描述种群整体特征的精确数值, 由逆向云发生器算法得到当代云...
There are comments on PubPeer for publication: RWFOA: a random walk-based fruit fly optimization algorithm (2020)
Fruit Fly Optimization Algorithm (FOA) is a novel optimization algorithm proposed by Wentsao Pan in 2012. The FOA is inspired by the fruit fly's forag
关键字:光伏电站;出力预测;Elman神经网络;FOA算法 中图分类号:TM6 5文献标识码:B文章编号: 00 - 390(20 4)1-010-05 Short-TrmPhotovoltaicPowrForcastingBasdon lmanNuralNtwork withFruitFlyOptimizationAlgorithm HANWei ,WANGHong-hua DUWei ( .CollegeofEnergyandElectricalEngineering HohaiUniversity Nanjing10098 ...
Parameters Optimization of PID Controller Based on Improved Fruit Fly Optimization AlgorithmFruit fly optimization algorithm (FOA)Double sub-swarms PID controllerFruit fly optimization algorithm (FOA) is a novel bio-inspired technique, which has attracted a lot of researchers' attention. In order to ...
One of the latest population-based techniques is the fruit fly optimization algorithm (FOA) [9]. So far, FOA has been used for: tuning of PID controller [10], semiconductor testing scheduling [11], power load forecasting [12], solving multidimensional knapsack problem [13] and continuous ...
improvements on the original FOA and use it to solve both contin- uous optimization problems and combinatorial optimization prob- lems. First, when flies are hunting for food, they show‘‘teamwork’’ or ‘‘swarmcollaboration’’ instead of scrambling; the flies share the ...
2. Algorithm Basic Principles and Its Application The FOA is a method for finding global optimization based on the food finding behavior of the fruit fly. Steps of original FOA can be summarized as follows. Step 1 (initialization). Define the population size of the fly group, the iteration ...