参考 ^S. Mirjalili, Moth-Flame Optimization Algorithm: A Novel Nature-inspired Heuristic Paradigm, Knowledge-Based Systems (2015), doi: http://dx.doi.org/10.1016/j.knosys.2015.07.006 ^
Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm. Knowl. Based Syst. 2015, 89, 228-249. [CrossRef]Seyedali Mirjalili, "Moth-flame optimization algorithm: A novel nature- inspired heuristic paradigm," Knowledge-Based System, vol. 89, pages 228-249, 2015....
MATHWORKSREF *** Cite As Seyedali Mirjalili (2025). Moth-flame Optimization(MFO) Algorithm (https://www.mathworks.com/matlabcentralfileexchange/52269-moth-flame-optimization-mfo-algorithm), MATLAB Central File Exchange. Retrieved May 15, 2025. MATLAB Release Compatibility Createdwith ...
This chapter introduces the Moth-Flame Optimization (MFO) algorithm, along with its applications and variations. The basic steps of the algorithm are explained in detail and a flowchart is represented. In order to better understand the algorithm, a pseud
Th original version of this algorithm can be found here:http://au.mathworks.com/matlabcentral/fileexchange/52269-moth-flame-optimization--mfo--algorithm All of the source codes and extra information as well as more optimization techniques can be found in my personal website athttp://www.alimir...
飞蛾扑火算法Moth Flame Optimization MFO算法,简单来说,就是固定数量的Moth(飞蛾)在解空间内游荡(游荡路线见更新公式)寻找更合适的位置(更符合目标函数的解),而Flame(火)就是目前最优秀的解(Flame数量处于变化)。 理解粒子群PSO的同学就比较好理解这类算法,相对粒子群算法,这个算法区别在: ...
The algorithm, therefore, converges over time while also being able to explore alternative areas of the search space. 3. MFO Pseudocode Let’s see the pseudocode for MFO: algorithm MothFlameOptimization(NumMoths, MaxIter): // INPUT // NumMoths = the number of moths in the population // ...
Stochasticoptimization Constrainedoptimization Meta-heuristic Population-basedalgorithm abstract Inthispaperanovelnature-inspiredoptimizationparadigmisproposedcalledMoth-FlameOptimization (MFO)algorithm.Themaininspirationofthisoptimizeristhenavigationmethodofmothsinnature calledtransverseorientation.Mothsflyinnightbymaintaining...
This shows that the Circle and Sinusoidal chaotic LI Hongwei et al.: Chaos-enhanced moth-flame optimization algorithm for global optimization 1151 boundary handing are able to improve the performance of MFO. In contrast the other variants of CMFO algorithms show worse results compared to MFO on ...
因此,我决定不忽略flame在这个关系中的作用:D,并将此算法命名为Moth-Flame Optimization algorithm。 飞蛾是一种奇特的昆虫,与蝴蝶家族非常相似。基本上,自然界中有超过16万种这种昆虫。它们一生中有两个主要的里程碑:幼虫和成虫。幼虫结茧变成蛾子。关于飞蛾最有趣的事实是它们在夜间的特殊导航方式。它们已经进化到...