Search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Random Walk Algorithms have been used extensively for global optimization.
搜索技术，诸如遗传算法，模拟退火算法，禁忌搜索和随机移动算法，已经广泛应用于全局优化。
This paper analyzes a few optimization algorithms appeared in recent years as simulated annealing, heritage algorithm and chemotaxis algorithm.
本文分析了近年来出现的一些优化算法，如模拟退火法、遗传算法和趋化性算法等的特点。
Two mathematical optimization algorithms including simplex method and simulated annealing are used to solve the constraint optimization problems.
介绍了多唯下降单纯形和模拟退火法两种数学优化算法。
Simulated evolution and simulated annealing are two stochastic search algorithms for solving the global optimization problems. They have been widely used in different engineering areas.
模拟进化和模拟退火是解决全局优化问题的随机搜索技术，它们在工程领域有着广泛的应用。
It also proves that simulated annealing algorithms are feasible and practicable in optimization of mixed refrigerant LNG process.
证明模拟退火算法应用于混合制冷循环天然气流程的可行性和有效性。
It also proves that simulated annealing algorithms are feasible and practicable in optimization of mixed refrigerant LNG process.
证明模拟退火算法应用于混合制冷循环天然气流程的可行性和有效性。
应用推荐