This paper proposes a novel intelligent estimation algorithm in Wireless Sensor Network (WSN) nodes location based on Free Search (FS) to improve the precision in location estimation.
为提高无线传感器网络(wsn)的节点定位的估计精度，提出基于自由搜索优化的智能估计定位算法。
This paper presents two kinds of intelligent methods for multi-depots vehicle scheduling problem(MDVSP), and uses Tabu Search algorithm(TS) to optimize MDVSP with weight limit.
针对物流配送中的多车场车辆调度问题提出了两种多车场的智能处理方法，并且用禁忌算法优化了容量约束的多车场VSP问题。
As an intelligent search and optimization method, Evolutionary Algorithm (EA) has a good future with a very variety of applications.
进化算法作为一种模拟生物优胜劣汰过程的智能搜索和优化算法有着非常广泛的应用前景。
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