Population-based algorithmStochastic optimizationIn this paper a novel nature-inspired optimization paradigm is proposed called Moth-Flame Optimization (MFO) algorithm. The main inspiration of this optimizer is
相应的MATLAB代码[2]如下: function[Best_flame_score,Best_flame_pos,Convergence_curve]=MFO(N,Max_iteration,lb,ub,dim,fobj)disp('MFO is optimizing your problem');%Initialize the positions of mothsMoth_pos=initialization(N,dim,ub,lb);Convergence_curve=zeros(1,Max_iteration);Iteration=1;% Main ...
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...
fileexchange/52269-moth-flame-optimization-mfo-algorithm), MATLAB Central File Exchange. Retrieved May 15, 2025. MATLAB Release Compatibility Createdwith R2011b Compatiblewith any release Platform Compatibility Windows macOS Linux Others Also Downloaded The Whale Optimization Algorithm ...
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
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...
Recently, Mirjalili [20] proposed a novel metaheuris- tic optimization algorithm called moth-flame optimization (MFO). It is inspired by the movement of moths with re- spect to the source of light. The MFO has been quite suc- cessful in a wide range of applications such as engineering ...
The Moth-Flame Optimizer Algorithm (MFO) is one of the modern meta-heuristic optimization techniques. In this paper, The Moth-Flame Optimizer algorithm has been utilized to find the optimal parameters of fuzzy logic controller for nonlinear systems. The results demonstrated the fuzzy logic controller...
In this work, an enhanced MFO algorithm based on orthogonal learning (OL) and Broyden-Fletcher-Goldfarb-Shanno (BFGS) named BFGSOLMFO is proposed for global optimization, as we know, OL and BFGS are first employed to improve MFO. The contribution of this paper is summarized as follows: The...
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: ...