2) interaction programming
交叉规划
1.
Puts forward particle swarm optimization based on simple method and subspace trust region method of the interior-reflective Newton method, to resolve linear interaction programming and non-linear lnteraction programming respectively.
提出了基于单纯形法和内部映射牛顿法的子空间置信域法的粒子群算法,分别用于求解线性交叉规划和非线性交叉规划,并结合实例说明了这两种混合粒子群算法求解交叉规划的可行性和有效性。
2.
The relation of interaction programming and multi-objective programming is con- sidered by using the converse problem of parametric programming.
本文利用参数规划的逆问题考虑交叉规划与多目标规划的关系,把交叉规划转变为部分同变量规划组,再把部分同变量规划组转化为一个多目标规划,并说明了交叉规划的均衡解与多目标规划的最优解的关系。
3.
Tow Bileve programming models are given from a general interaction programming, then the relation between them is given.
本文把一般的交叉规划转化为两类等价的双层规划 ,并讨论了它们解之间的关系。
3) crossover scale
交叉规模
1.
In addition, the crossover scale, mutation scale and the mutation rate of each gene in each mutation individual could be adaptively adjusted according to the population diversity.
该算法采用了启发式交叉策略,并且能够根据种群的相异度自适应地调节种群的交叉规模、变异规模以及变异个体中各个基因的变异率,从而能够避免种群早熟收敛,加快进化速度。
5) Interactive programming
交叉规划
1.
The article introduces a general interactive programming, then gives a special interactive programming.
本文首先介绍了一般交叉规划,然后给出了一类特殊的交叉规划。
6) Convex quadratic interactive programming
凸二次叉叉规划
补充资料：叉手叉脚
1.形容参差不齐。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条