Consumers in the US, for example, do more than three billion local searches every month as they increasingly choose online search over traditional methods of advertising.
例如,在美国,消费者每月大概有30多亿次的本地搜索,因为他们越来越多地避开传统广告,选择网上搜索方式。
Traditional methods include Dynamic Programming, Greedy Algorithms, Local Search Heuristics and Branch and Bound algorithms.
传统的求解方法包括动态规划法、贪婪算法、局部搜索法和分支定界法等。
For complex functions with high dimensions, canonical optimization methods are easy to be trapped in local minima and simple random search methods are slow on convergence.
对于高维复杂函数,传统的确定性算法易陷入局部最小,而单一的全局随机搜索算法收敛速度慢。
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