- 更多网络例句与该罚地相关的网络例句 [注：此内容来源于网络，仅供参考]
-
The primary work of this paper includes: 1 The general process and the fundamental theory of genetic algorithm is introduced systematically, which is also be applied to an example; 2 The penalty function method and the constraint tournament method are introduced in the paper, which are used to process the constraint limit. Via analyzing the basic principle of NSGA-II ,which is elaborated in the paper, the fast non- dominated sorting method, congestion distance and its comparison operator, the elite strategy and the main process of NSGA-II is researched particularly. 3 Via modeling the fire distribution problem, the model is computed by the algorithm of NSGA-II, which is combined with both the penalty function method and the restraint league tournament method The optimization of two goals are also realized in the paper. The results derived from the VC++6.0 indicate that, two algorithms both have the high convergence, simultaneously the Pareto optimal solution also maintain the variety of distribution.
本文所作的主要工作如下：系统地介绍了遗传算法的一般流程和基本理论，并应用于一个函数优化的实例；研究了用于处理约束限制的罚函数法和约束联赛法，论述了NSGA-II的基本原理，并对其提出的快速非支配排序法、拥挤度及其比较算子、精英策略及NSGA-II的主要流程作了详细的研究；建立了火力分配问题的模型，并将NSGA-II算法分别与罚函数法和约束联赛法相结合对该模型进行了计算，实现了对两个目标的最优化；用VC++6.0编程计算后所得的结果表明，两种算法均具有很好的收敛性，同时Pareto最优解也保持了好的多样性分布。
-
The modified particle swarm optimization is utilized to solve the proposed reactive power optimization model; and combining with non–stationary multi-stage assignment penalty function, the reactive power optimization problem is transferred into a problem to solve extreme-value without constraints, thus the calculation accuracy and global convergence ability of MPSO are effectively improved, and power grid company can achieve maximal economic benefit by means of the proposed algorithm.
应用改进粒子群优化算法求解该无功优化模型，并结合动态调整罚函数法将无功优化问题转化成无约束求极值问题，从而有效地提高了改进粒子群优化算法的全局收敛能力和计算精度，使电网公司取得了最大经济效益。
-
An adaptive genetic algorithm in conjunction with multi-population genetic strategy, entropy-based searching technique with narrowing down space and the quasi-exact penalty function was developed to solve the optimization problem. The proposed method culd successfully balance the efficiency against precision, and close the optimal solution quickly and stability.
一个自适应的遗传算法被用于求解上述优化模型，该算法采用多种群遗传策略、信息熵控制的空间减缩搜索技术以及拟精确罚函数方法，较好地平衡了效率与精度之间的关系，从而能够快速而稳定地逼近最优解。
- 更多网络解释与该罚地相关的网络解释 [注：此内容来源于网络，仅供参考]
-
Culpable：该责备的
culpability 可责 | culpable 该责备的 | culpably 该罚地
-
culprit：犯人
culpably 该罚地 | culprit 犯人 | cult of personality 个人崇拜
-
culpably：该罚地
culpable 该责备的 | culpably 该罚地 | culprit 犯人
-
culpably：该罚地, 可恶地
culpable /该责备的/有罪的/不周到的/ | culpably /该罚地/可恶地/ | culprit /犯人/罪犯/刑事被告/
-
culpably：该罚地; 可恶地 (副)
culpable 该责备的; 不周到的; 有罪的 (形) | culpably 该罚地; 可恶地 (副) | culprit 被控犯罪的人; 罪犯; 刑事被告 (名)