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Global Optimization Toolbox provides methods that search for global solutions to problems that contain multiple maxima or minima. It includes global search, multistart, pattern search, genetic algorithm, and simulated annealing solvers. You can use these solvers to solve optimization problems where the objective or constraint function is continuous, discontinuous, stochastic, does not possess derivatives, or includes simulations or black-box functions with undefined values for some parameter settings.
Date : 2026-01-11 Size : 1kb User : saswata

针对粒子群优化算法应用于约束优化问题时易陷入局部极小值的问题, 提出了一种改进的粒子群优化算 法. 该算法综合了约束优化问题的目标函数值和约束函数的违反度值作为粒子群优化算法的双适应度值, 采用了 双适应值动态判断粒子群优化算法中粒子的优劣. 违反度值的计算引入了自适应加权系数, 相应地提出了调整各 权系数的自适应策略, 并改进了粒子群优化算法的粒子竞争选择策略, 拓展了粒子群优化算法的单适应值的应用 范围.应用约束自适应粒子群优化算法实现了城市水厂的节能优化调度. 结果表明, 该算法收敛速度快且结果可 靠. 粒子群优化算法为解决工程约束优化问题提供了一条可行途径-Considering that theparticleswarmoptimization( PSO) algorithmcanbeeasily trappedinto the local minimal valueinconstrainedoptimizationproblems, amodifiedconstrainedparticleswarmoptimiza tionalgorithmwasproposed. Theobjective functionvalue andthe violationvalue of constraint functions wereeffectively combinedto formtwofitnesses, andthefitnesseswereadoptedto estimate if theparticle wassuperior or not ina dynamicway. Theadaptiveweight functionwasadoptedinthe calculationof the violationvalue. The strategy of keeping anadaptive relationof weight coefficientswasproposed, andthe strategyof swarmtournament selectionwasimproved. Theapplicationlocalizationsof thesinglefitnessof PSOwerewidenedaswell. ThemodifiedconstrainedPSOalgorithmwasappliedtosolveenergyoptimiza tionproblemsof theurbanwater supplyprocess, whichshowedthat theconvergent speedof thealgorithm isfast andthe result isvalid. Afeasibleapproachto solvetheindustrial constraint optimizationproblems withPSOwasprovided.
Date : 2026-01-11 Size : 208kb User : 吴胜亮

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粒子群优化算法的寻优算法,以求解约束条件下的极大值-Particle swarm optimization algorithm and optimization algorithm, to solve the constraint conditions of maximum
Date : 2026-01-11 Size : 717kb User : 文东杰

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混合智能算法:采用人工神经网络对不确定性函数与及约束进行拟合,并采用pso算法求解考虑多个风电节点的IEEE33节点系统随机规划模型。-Hybrid intelligent algorithm: the use of artificial neural network to fit the function of the uncertainty and constraint, and using pso algorithm considering IEEE33 node system stochastic programming model of multiple wind power node.
Date : 2026-01-11 Size : 80kb User : King

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Parsopoulos等采用罚函数法,利用非固定多段映射函数对约束优化问题进行转化,再利用PSO算法求解转化后问题,仿真结果显示PSO算法相对遗传算法更具有优越性,但其罚函数的设计过于复杂,不利于求解;Hu等采用可行解保留政策处理约束,即一方面更新存储中所有粒子时仅保留可行解,另一方面在初始化阶段所有粒子均从可行解空间取值,然而初始可行解空间对于许多问题是很难确定的;Ray等提出了具有多层信息共享策略的粒子群原理来处理约束,根据约束矩阵采用多层Pareto排序机制来产生优良粒子,进而用一些优良的粒子来决定其余个体的搜索方向。 -Parsopoulos etc. penalty function method, the use of non-fixed multi-stage mapping function constrained optimization problem for transformation, reuse PSO algorithm for solving the problem after the conversion, the simulation results show that the relative genetic algorithm PSO algorithm has more advantages, but its design is too complicated penalty function is not conducive to solving Hu retention policies such as the use of feasible solutions processing constraints, on the one hand to retain only feasible solution when updating the store all particles, on the other hand all the particles are in the initialization phase values ​ ​ from the feasible solution space, however, the initial feasible solution space For many the problem is difficult to determine Ray and put forward the principle of a multi-layer particle swarm information sharing strategies to deal with constraints, according to the constraint matrix using multi Pareto superior sorting mechanism to generate partic
Date : 2026-01-11 Size : 2kb User : 朱坤鸿

带有约束条件的PSO算法,内包含有多种实例函数(A PSO algorithm with constraint conditions, which contains a variety of instance functions)
Date : 2026-01-11 Size : 41kb User : ZQ_fan

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优化五个发电机组的燃料成本,暂时不考虑爬坡率,不考虑禁止区,主要优势在对于负荷平衡约束等式的处理(Optimizing the fuel cost of five generators without considering the slope climbing rate and prohibition zone for the time being, the main advantage is to deal with the load balance constraint equation.)
Date : 2026-01-11 Size : 2kb User : wjnjupt

该资源使用matlab编写的有约束条件的粒子群算法,其中的代码对于解决一些约束问题可能会有很大的帮助,也可以为一些人提供一些想法与思路(This resource uses a constrained particle swarm algorithm written in matlab. The code in it may be very helpful for solving some constraint problems, and it can also provide some people with some ideas and ideas)
Date : 2026-01-11 Size : 1.22mb User : 修道人

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研究能量受限的SWIPT无线通信网络中,基站采用MIMO多天线发送信号给用户节点,在有窃听节点的情况下,通过联合优化发射波束形成矢量、人工噪声协方差和接收PS比来最小化总发射功率,同时保证每个接收机的个体保密率和能量收集约束。(In the energy limited swipt wireless communication network, the base station uses MIMO multi antenna to send signals to user nodes. In the case of eavesdropping nodes, the total transmit power is minimized by jointly optimizing transmit beamforming vector, artificial noise covariance and receive PS ratio, while ensuring the individual confidentiality rate and energy collection constraint of each receiver.)
Date : 2026-01-11 Size : 5kb User : herain
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