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1·Using a new range encoding mapping, the differential evolution algorithm can be used to deal with discrete optimization problem.

其次，利用一种新的区间编码映射机制，将差异演化算法扩展到求解离散领域优化问题。

2·Distribution network reconfiguration is a multi - objective , multi - constraint, discrete nonlinear combinatory optimization problem.

配电网重构是一个多目标、 多约束、 离散的非线性组合优化问题。

3·The results of calculation and simulation indicate that application of the discrete method for problem of trajectory optimization can avoid the problem of initial value sensitivity.

仿真计算结果表明这种离散化的方法应用于此轨道优化问题可以避免传统轨道优化方法对初值敏感的问题。

4·Here, discrete particle swam optimization algorithm is introduced to solve the problem of optimal restoration of distribution feeders during cold load pickup.

在求解冷负荷启动中的配电网馈线供电恢复问题时引入了离散粒子群优化算法并对该算法进行了改进。

5·A discrete Particle Swarm Optimization (PSO) algorithm was presented for Job Shop scheduling problem.

提出了用于解决作业车间调度问题的离散版粒子群算法。

6·Ant colony algorithm is a novel simulated evolutionary algorithm based on group cooperation and can be applied to solve hard discrete combinatorial optimization problem.

蚁群算法是基于群体合作的一类仿生算法，适合于解困难的离散组合优化问题。

7·Puts forward a new ACA based on grid division to overcome the weakness of ACA in solving continuous function optimization problem, and expands the discrete space to the continuous space.

针对蚁群算法在求解连续优化问题上相对较弱的特点，提出了基于网格划分的蚁群算法，将传统的用于求解离散空间优化问题的蚁群算法进行了扩展。

8·Essentially, optimal reactive power dispatch is the multi-restraint overall optimization problem with plentiful local minima and discrete variables.

从本质上讲，无功优化调度问题是具有大量的局部极小值的多约束全局优化问题，且含有大量的离散变量。

9·Topology optimization of a continuum structure is essentially a 0-1 discrete variable optimization problem.

连续体结构的拓扑优化本质上是一种0-1离散变量的组合优化问题。

10·To solve the multimodal optimization problem the 1d discrete optimization methods, the genetic and Ant Colony algorithms are applied.

为了解决多重模态最优化问题，我们运用了一维离散优化方法、遗传算法和蚁群算法。