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).
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）。
A hybrid algorithm combined heuristic method and simulated annealing was presented in this paper for layout optimization with Performance constraints.
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。
Thus, we propose a hybrid Immune algorithm (IA) based heuristic containing a simplex algorithm as a sub-search process.
为此，本文提出用一个基于模型特性，包含子搜索过程的混合免疫算法来对问题进行优化。
Comparable performance of this hybrid algorithm and the construction heuristic algorithm which is described in chapter 2 is presented.
并且给出了该算法和第二章给出的构造启发式算法的性能比较。
A hybrid algorithm of combining heuristic recursive algorithm with immune clone algorithm was presented for solving the guillotine rectangular cutting problem.
结合免疫克隆算法和模拟退火算法的优点，提出了一种网格任务调度优化模型和算法。
A hybrid algorithm of combining heuristic recursive algorithm with immune clone algorithm was presented for solving the guillotine rectangular cutting problem.
结合免疫克隆算法和模拟退火算法的优点，提出了一种网格任务调度优化模型和算法。
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