Location:
Search - pareto
Search list
Description: 本程序用于生成多目标优化过程中的Pareto解集，效果比较好的！-This program used to generate more objective to optimize the process of pareto sets and better!
Platform: |
Size: 5120 |
Author: 百秀 |
Hits:
Description: 传算法是一种基于生物进化原理的启发式并行搜索和优化技术，常被用于优化计算。该文针对经典遗传算法在多目标优化计算中存在的不足，结合热力学中熵的概念，利用约束交叉、适应度共享技术来进行多目标函数的优化计算。实验结果显示这种改进型遗传算法能得到一个较好的Ｐａｒｅｔｏ优集。
-Propagation algorithm is a heuristic based on the principle of biological evolution parallel search and optimization techniques, often used for optimization. In this paper, the classic genetic algorithm for multi-objective optimization of the shortcomings, combined with the concept of entropy in thermodynamics, the use of cross-bound, fitness sharing technology for multi-objective function optimization. The results revealed that the improved genetic algorithm can get a good set of Pareto superior.
Platform: |
Size: 209920 |
Author: S514506227 |
Hits:
Description: 基于Pareto解模糊优化的汽车动力传动系匹配.-Pareto optimal solution based on fuzzy matching vehicle powertrain.
Platform: |
Size: 165888 |
Author: |
Hits:
Description: MSOPS - Multiple Single Objective Pareto Sampling.
MSOPS is an elitist multiobjective evolutionary algorithm which incorporates a non Pareto-dominance based multiobjective approach.
Author: Tobias Wagner
Platform: |
Size: 7168 |
Author: sara |
Hits:
Description: 多目标优化遗传算法有效地避免了收敛速度慢和封闭竞争等问题， Pareto前沿更加接近理想前沿，并且收敛速度都非常快-Multi-objective optimization genetic algorithm is effective to avoid the slow convergence rate and close competition and other issues, leading Pareto closer to the ideal cutting edge, and the convergence speed is very fast.
Platform: |
Size: 1076224 |
Author: 早餐 |
Hits:
Description: MATLAB file pareto optimal
Platform: |
Size: 498688 |
Author: zain |
Hits:
Description: pareto code for multi
Platform: |
Size: 3072 |
Author: zain |
Hits:
Description: NNIAToolbox es un algoritmo para evaluar problemas multi objetivo obteniendo frentes de pareto
Platform: |
Size: 7168 |
Author: baselogin |
Hits:
Description: The performance of a visible light communication system is greatly affected by LED layout setting. Received power and SNR can be increased or decreased by changing LED placement. However, there is trade-off between received power and SNR. This makes it impossible to design a VLC system that maximizes both received power and SNR simultaneously. In this paper, we find the Pareto-optimal LED layout settings, as well as the performances according to these setting using the SPEA2 multi-objective optimization algorithm. Based on the result of the multi-objective optimization process, one can design a VLC system with optimized performance.
Platform: |
Size: 461824 |
Author: dotronghop |
Hits:
Description: The performance of a visible light communication system is greatly affected by LED layout setting. Received power and SNR can be increased or decreased by changing LED placement. However, there is trade-off between received power and SNR. This makes it impossible to design a VLC system that maximizes both received power and SNR simultaneously. In this paper, we find the Pareto-optimal LED layout settings, as well as the performances according to these setting using the SPEA2 multi-objective optimization algorithm. Based on the result of the multi-objective optimization process, one can design a VLC system with optimized performance.
Platform: |
Size: 420864 |
Author: dotronghop |
Hits:
Description: this function is based on evolutionary algorithm for finding the optimal solution for multiple objective i.e. pareto front for the objectives.
Platform: |
Size: 3072 |
Author: bcaldwell |
Hits:
Description: matlab程序，用于多目标优化的pareto解的发现。
Platform: |
Size: 3395 |
Author: fuleima@qq.com |
Hits:
Description: it is a method In the multi-objective planning with two conflicting objectives
Platform: |
Size: 1024 |
Author: hamed |
Hits:
Description: 帕累托最优追踪代码，由99行程序改编而成的代码,Pareto optimal tracking code, adapted from code by 99 line program
Platform: |
Size: 3072 |
Author: 张三 |
Hits:
Description: EFFICIENT RANDOM VARIATES GENERATOR (from over 50 distributions):Alpha,
Anglit,
Antilognormal,
Arcsin,
Bernoulli,
Bessel,
Beta,
Binomial,
Bradford,
Burr,
Cauchy,
Chi,
Chi-Square (Non-Central),
Chi-Square (Central),
Cobb-Douglas,
Cosine,
Double-Exponential,
Erlang,
Exponential,
Extreme-Value,
F (Central),
F (Non-Central),
Fisher-Tippett,
Fisk,
Frechet,
Furry,
Gamma,
Generalized Inverse Gaussian,
Generalized Hyperbolic,
Geometric,
Gompertz,
Gumbel,
Half-Cosine,
Hyperbolic Secant,
Hypergeometric,
Inverse Gaussian,
Laplace,
Logistic,
Lognormal,
Lomax,
Lorentz,
Maxwell,
Nakagami,
Negative Binomial,
Normal,
Normal-Inverse-Gaussian (NIG),
Pareto,
Pareto2,
Pascal,
Planck,
Poisson,
Quadratic,
Rademacher,
Rayleigh,
Rice,
Semicircle,
Skellam,
Student s-t,
Triangular,
Truncated Normal,
Tukey-Lambda,
U-shape,
Uniform (continuous),
Von Mises,
Wald,
Weibull,
Wigner Semicircle,
Yule,
Zeta,-EFFICIENT RANDOM VARIATES GENERATOR (from over 50 distributions):
Alpha,
Anglit,
Antilognormal,
Arcsin,
Bernoulli,
Bessel,
Beta,
Binomial,
Bradford,
Burr,
Cauchy,
Chi,
Chi-Square (Non-Central),
Chi-Square (Central),
Cobb-Douglas,
Cosine,
Double-Exponential,
Erlang,
Exponential,
Extreme-Value,
F (Central),
F (Non-Central),
Fisher-Tippett,
Fisk,
Frechet,
Furry,
Gamma,
Generalized Inverse Gaussian,
Generalized Hyperbolic,
Geometric,
Gompertz,
Gumbel,
Half-Cosine,
Hyperbolic Secant,
Hypergeometric,
Inverse Gaussian,
Laplace,
Logistic,
Lognormal,
Lomax,
Lorentz,
Maxwell,
Nakagami,
Negative Binomial,
Normal,
Normal-Inverse-Gaussian (NIG),
Pareto,
Pareto2,
Pascal,
Planck,
Poisson,
Quadratic,
Rademacher,
Rayleigh,
Rice,
Semicircle,
Skellam,
Student s-t,
Triangular,
Truncated Normal,
Tukey-Lambda,
U-shape,
Uniform (continuous),
Von Mises,
Wald,
Weibull,
Wigner Sem
Platform: |
Size: 38912 |
Author: QianZhou |
Hits:
Description: 经典的NSGA2算法 ，多目标优化，pareto前沿-The classic NSGA2 algorithm, multi-objective optimization
Platform: |
Size: 26624 |
Author: 琼琼 |
Hits:
Description: 基于生长竞争蚁群算法的QoS 路由算法。为解决多约束QoS 单播路由问题，提出一种基于改进蚁群算法的QoS 单播路多目标算法。该算法引入
生长竞争机制，使算法尽可能向Pareto 最优靠近。实验结果表明，该算法是可行和有效的，能够在资源预留的基
础上较好地满足用户对带宽和时延的要求。-QoS routing algorithm based on growing competitive ant algorithm
Platform: |
Size: 178176 |
Author: jia yu |
Hits:
Description: ev-MOGA Multiobjective Evolutionary Algorithm has been developed by the Predictive Control and Heuristic optimization Group at Universitat Politècnica de València. ev-MOGA is an elitist multi-objective evolutionary algorithm based on the concept of epsilon dominance. ev-MOGA, tries to obtain a good approximation to the Pareto Front in a smart distributed manner with limited memory resources. It also adjusts the limits of the Pareto front dynamically.
Platform: |
Size: 288768 |
Author: ouchi |
Hits:
Description: fortran语言实现的，计算帕雷托模型的小程序，只需要准备好数据，修改文件名，即可得出不同门限值下的模型结果-fortran language, computing Pareto model of small programs, only need to prepare the data, modify the file name can be derived under different threshold model results
Platform: |
Size: 1024 |
Author: liz |
Hits:
Description: onventional optimization algorithms using linear and non-linear programming sometimes have difficulty in finding the global optima or in case of multi-objective optimization, the pareto front. A lot of research has now been directed towards evolutionary algorithms (genetic algorithm, particle swarm optimization etc) to solve multi objective optimization problems.
Platform: |
Size: 384000 |
Author: riemannfly |
Hits: