Ant colony algorithm is a new heuristic optimization method and it has many merits.
蚁群算法是一种新型启发式优化算法，具有较多优点。
The method gives out the presentation be constrained to objects into pipeline by using collision matrix, and findsout scheduling model with goal-oriented optimization by heuristic search.
该方法给出冲突矩阵表示对象流入流水线的限制，通过启发式搜索寻找面向目标优化的调度策略。
Second, combining with the result of first step, it carries out branch exchange by using heuristic rule to reduce the defect due to using a method independently and improve the optimization effect.
结合第一步的计算结果，第二步运用启发式规则进行支路交换，从而减少单独运用一种方法的不足，提高优化效果。
Finally, a heuristic sampling method oriented to different targets is pointed to increase the model's global proximate and optimization precision.
最后，提出了全局近似和优化精度面向不同目标的启发式采样策略的改进方法。
The smoothing method is a heuristic method for global optimization, which is much applicable in the research area of molecular conformations.
平滑方法是全局优化的一种启发式方法，在分子构像优化问题中得到大量应用。
This modulation control method applies modern heuristic optimization technique to generate PWM signals which can achieve harmonic optimization of three phase high power PWM converters.
这种调制方法使用基于人工智能优化算法产生脉冲信号的调制方法，对大功率三相PWM变换器进行谐波优化。
Particle swarm optimization (PSO) is a heuristic search method based on swarm intelligence, and has been widely used to solve various problems in engineering fields.
粒子群优化(PSO)算法是一种基于群体智能的启发式搜索方法，应用领域很广。
The experimental results show that the scheduling algorithm based on multiobjective combinational optimization method is better than those heuristic scheduling algorithms.
仿真实验结果表明，基于多目标优化方法的调度算法在多数性能指标上均比启发式调度算法更具优势。
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。
In this paper, a local-optimization method oriented to frequently occurring faults is presented. A heuristic fault diagnosis algorithm with fewer probing operations is also discussed.
为此，我们面向高频度故障，提出了一个基于原测试流程的局部优化方法，并且还提出了一个以减少诊断所需探针操作次数为目标的启发式故障诊断算法。
In this paper, a local-optimization method oriented to frequently occurring faults is presented. A heuristic fault diagnosis algorithm with fewer probing operations is also discussed.
为此，我们面向高频度故障，提出了一个基于原测试流程的局部优化方法，并且还提出了一个以减少诊断所需探针操作次数为目标的启发式故障诊断算法。
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