function Positions = initialization(SearchAgents_no, dim, ub, lb) Boundary_no= size(ub, 2); % numnber of boundaries % If the boundaries of all variables are equal and user enter a signle % number for both ub and lb if Boundary_no==1 Positions = rand(SearchAgents_no, dim).*(ub-lb...
To solve the non-differentiable optimal power flow (OPF) problems with multiple contradictory objectives, a modified pigeon-inspired optimization algorithm (MPIO) is put forward in this paper. Combining with the common-used penalty function method (PFM), the MPIO-PFM algorithm is proposed and ...
简介:鸽群优化算法(Pigeon-inspired Optimization algorithm, PIO)附matlab代码 ✅作者简介:热爱科研的Matlab仿真开发者,修心和技术同步精进,matlab项目合作可私信。 🍎个人主页:Matlab科研工作室 🍊个人信条:格物致知。 更多Matlab仿真内容点击👇 智能优化算法神经网络预测雷达通信无线传感器 信号处理图像处理路径规划...
Keywords fuzzy, production scheduling, mould maintenance, pigeon inspired optimization, multi-objective Citation Fu X Y, Chan F T S, Niu B, et al. A multi-objective pigeon inspired optimization algorithm for fuzzy production scheduling problem considering mould maintenance. Sci China Inf Sci, 2019,...
同时, 将IDPIO, 遗传算法(genetic algorithm, GA), 粒子群算法(particle swarm optimization, PSO)及鸽群优化算法(pigeon-inspired optimization, PIO)进行对比, 进一步分析改进离散鸽群优化方法(IDPIO)的搜索性能. View Download Figure 2 Simulation terrain configurations. (a) Terrain (a); (b) terrain (b...
Flow chart of optimization algorithm of the surrogate model structure based on pigeon-inspired algorithm (PIO). (1) 初始化和智能算法预处理 确定模型最高阶次Pmax、最大项数Dmax和模型精度要求PPSc,如式(12)所示. Pmax=maxp∑i=1ni,Dmax=maxI(ˆm|Zn(x)),PPSc={αˆRl2,Zn(m)+βˆR10...
This paper proposes a robust and intelligent control method based on adaptive neuro-fuzzy inference system (ANFIS) and pigeon-inspired optimization (PIO) algorithm to govern the behavior of a three-degree-of-freedom (3-DOF) quadrotor unmanned aerial vehicle (UAV). UAVs are flying platforms that ...
IPIO algorithm is used to obtain the optimized weights for fusion, whose value range is gained by fusing the edge information. Besides, the global information entropy is used as the fitness index of the IPIO, which has high efficiency especially for discrete optimization problems. For the detail...
Purpose – The purpose of this paper is to present a novel swarm intelligence optimizer — pigeon-inspired optimization (PIO) — and describe how this algorithm was applied to solve air robot path planning problems. Design/methodology/approach – The formulation of threat resources and objective fun...
The pigeon-inspired optimization algorithm is a category of a newly proposed swarm intelligence-based algorithm that belongs to the population-based solution technique. The MKP is a class of complex optimization problems that have many practical applications in the fields of engineering and sciences. ...