OptimizationOSNRPower consumptionIn all-optical networks the ASE noise of the utilized optical power amplifiers is a major impairment, making the OSNR to be the dominant parameter in QoS. In this paper, a two-o
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...
Multiobjective Optimization with Two Objectives This example shows how to find a Pareto set for a two-objective function of two variables. The example presents two approaches for minimizing: using theOptimizeLive Editor task and working at the command line. ...
Local minimum found that satisfies the constraints. Optimization completed because the objective function is non-decreasing in feasible directions, to within the value of the optimality tolerance, and constraints are satisfied to within the value of the constraint tolerance. ...
A multi-objective optimization for power systems using meta reinforcement learning. • Integrated two methods create an end-to-end optimization for power systems. • Proposed method outperforms traditional methods in several metrics on Pareto front. Abstract The integration of renewable energy into ...
We present a two-stage constrained multi-objective evolutionary algorithm for solving CMOPs based on evolution strategy. In the proposed algorithm, a parameter-less constraint handling technique is designed for constrained multi-objective optimization. ...
Multi-objective optimization problems (MOPs), which usually involve more than one conflicting objective, can be described as follows:MinF(x)=(f1(x),f2(x),…,fm(x))TSubjecttox∈Ω where x=(x1,x2,…,xn)Tis the decision vector and Ω⊆Rn is the decision space. F: Ω → Rm is...
Finally, with the skew and sweep of two-stage blades being design variables and the total pressure and the efficiency being the objectives, a particle swarm optimization algorithm is developed to solve this complex multiobjective optimization problem. The optimal result shows that the total pressure ...
Evolution algorithm for constrained multi-objective optimization problem; 演化算法求解约束多目标优化问题 2. A new algorithm for constrained multi-objective optimization is 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...