混合遗传算法在产生初始种群时引入启发式方法，采用自适应遗传参数和交替使用两种交叉算子；
In the HGA , heuristic algorithm is used to produced initial population , self-adaptive parameter are used in copy operator, crossover operator and mutation operator .
在利用串行调度启发式方法解决资源受限的运输任务调度问题（RCTTSP）的基础之上，提出了一种混合遗传算法（HGA）。
This paper proposes a Hybrid Genetic Algorithm(HGA) based on a serial scheduling heuristic method to solve the Resource-Constrained Transport Task Scheduling Problem(RCTTSP).
给出板坯排序问题的约束满足模型，设计了基于约束满足和启发式混合求解算法。
A constraint satisfaction model is given. A hybrid solving algorithm is designed based on constraint satisfaction and heuristics node exchange algorithm.
为了解决印刷电路板化学处理的排序问题，给出了一个新的单抓钩周期排序的混合整数规划模型，并针对该模型提出了结合线性规划模型的启发式算法。
A new mixed integer linear programming (MILP) model for the single hoist cyclic scheduling is developed, and based on this MILP model, a heuristic method together with linear programming is proposed.
将炼钢连铸生产计划中炉机优化匹配问题归结为一个不允许等待的混合流水车间排序问题来进行研究，提出了一个启发式算法-最小偏差算法。
A hybrid flow shop scheduling problem with no-wait is derived from the optimal matching of furnaces and machines in steel making casting production.
混合蛙跳算法是一种全新的基于群体智能的后启发式计算技术，具有高效的计算性能和优良的全局搜索能力。
The shuffled frog leaping algorithm is a new post based on swarm intelligence heuristic computing technology, a highly efficient computing performance and good global search capability.
最后开发了结合启发式规则的混合遗传算法相控阵雷达调度软件系统，并利用仿真结果验证了算法的可行性和有效性。
The software for phased array radar scheduling based on hybrid GA with heuristic rules is developed at last and the feasibility and validity are demonstrated using simulation results.
本文提出了以启发式方法和模拟退火算法相结合的混合算法，可用于带性能约束的布局优化设计问题。
A hybrid algorithm combined heuristic method and simulated annealing was presented in this paper for layout optimization with Performance constraints.
对“一刀切”矩形件排样问题，提出一种将启发式递归与免疫克隆算法相结合的混合优化方法。
An optimal task scheduling model and an algorithm were brought forward, which combined the advantages of immune clonal algorithm and simulated annealing.
在该混合算法中，采用NEH启发式算法进行种群初始化，以提高初始解质量。
The initial population was generated by the NEH constructive heuristic to enhance the quality of the initial solutions.
在该混合算法中，采用NEH启发式算法进行种群初始化，以提高初始解质量。
The initial population was generated by the NEH constructive heuristic to enhance the quality of the initial solutions.
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