In both scenarios, the launch powers of the lasers are also taken into account during optimization process. Two novel encoding methods are proposed to uniquely represent the problem solutions. Two virtual demand sets are considered for evaluation of the performance of the proposed optimization scheme....
网络两目标优化 网络释义 1. 两目标优化 "两基"目... ... ) two-target game 两目标对策 )two-objective optimization两目标优化) Bilevel multiobjective 两层多目标 ... www.dictall.com|基于 1 个网页
1.Evolution algorithm forconstrained multi-objective optimizationproblem;演化算法求解约束多目标优化问题 2.A new algorithm forconstrained multi-objective optimizationis presented.提出一种用于求解约束多目标优化问题的新算法,其主要特点是将约束条件转化为一个目标,并引入免疫克隆和免疫记忆机制,使抗体种群的演化过程...
1) no-constraint two-objective optimization 无约束双目标优化2) Multi-objective constrained optimization 多目标约束优化 1. According to the equilibrium condition of ship free floating, the calculation of free floatation boils down to a multi-objective constrained optimization problem and genetic ...
The train timetable optimization problem in subway systems is to determine arrival and departure times for trains at stations so that the resources can be effectively utilized and the trains can be efficiently operated. Because the energy saving and the service quality are paid more attention, this...
Optimization Methods & SoftwareMiettinen, K., Lotov, A.V., Kamenev, G.K., Berezkin, V.E.: Integration of two multiobjective optimization methods for nonlinear problems. Optimization Methods and Software 18, 63–80 (2003) MATH MathSciNet...
Optimization terminated: average change in the spread of Pareto solutions less than options.FunctionTolerance. bestX =18×4 0.709997365707752 0.00117532062711235 4.49301411408982 98.5507518633246 0.30630689888335 0.00268792681463366 4.53752353503289 90.6453536304247 0.709861013382623 0.00133591947135271 4.49998092805107 94.349974364...
A predictive management system for cogeneration unit-based energy supply networks using two-stage multi-objective optimization was developed to tackle a trade-off between energy savings and operating cost reduction. The developed system integrated support vector regression-based energy demand prediction, ...
Although generator optimization based on analytical models has a high accuracy, it is often difficult to establish an analytical model when considering a larger number of parameters. Because of the more complex relationships between various variables, the analytical model of the generator is more ...
A robust multi-objective optimization framework is proposed by combining back-off in constraints, multi-objective optimization algorithm and multi-criteria decision-making. The proposed framework can effectively handle the hotspot temperature violation caused by uncertain dry gas composition. The effectiveness...