针对动态联盟企业风险规划问题，给出一种新的基于蚂蚁优化思想的求解算法。
Based on the ant colony optimization idea, a new algorithm for the risk programming problem in virtual enterprise is presented.
针对经典的背包问题，给出一种新的基于蚂蚁优化思想的求解算法。
Based on the ant colony optimization idea, this paper presents a new algorithm for the classical knapsack problem.
蚁群算法是受自然界蚂蚁觅食过程中，基于信息素的最短路径搜索食物行为启发，提出的一种智能优化算法。
Ant Colony Algorithm (ACA) is an intelligence-optimized algorithm coming from the illumination of food-seeking behavior by ants based on the shortest route of daumone.
针对复杂机械产品传动方案的优化设计问题，提出了一种融合模拟退火算法的新型蚂蚁算法。
To solve the problems of transmission scheme optimization for complex mechanical products, a new ant algorithm combined the simulated annealing algorithm was put forward.
针对电子商务环境下虚拟企业风险规划问题，给出了一种基于蚂蚁优化思想的求解算法。
Based on the ant colony optimization, a new algorithm was proposed for the risk programming of virtual enterprise under electronic commerce environment.
基于近些年出现的新型智能优化思想：人工蚂蚁系统，给出了一种可快速求解VRP的蚂蚁搜索算法。
Based on the recently developed new intelligent optimization idea: artificial ant system, we proposes a quick ant searching algorithm for solving VRP.
蚂蚁算法是一种新兴的随机搜索优化算法在近几年。
Ant algorithm is a newly emerged stochastic searching optimization algorithm in recent years.
蚂蚁算法是近年来出现的仿生优化方法，该算法所具有的正反馈性、协同性及隐合并行性，使之成为一种具有广阔应用前景的优化算法。
Ant Algorithm is a bionic-optimization method, which has a capacious application foreground because of its properties of positive feeding-back, coordinating and implicating parallelism.
本文将跨层优化和蚂蚁优化方法结合起来解决自组网中的负载均衡问题，提出了一种基于跨层负载感知和双向逐跳更新信息素的蚂蚁优化路由协议（CLABHPU）。
In this paper, we present a cross-layer load-aware based ant colony optimization routing protocol with bi-directional and hop-by-hop pheromone update for ad hoc networks(CLABHPU).
本文将跨层优化和蚂蚁优化方法结合起来解决自组网中的负载均衡问题，提出了一种基于跨层负载感知和双向逐跳更新信息素的蚂蚁优化路由协议（CLABHPU）。
In this paper, we present a cross-layer load-aware based ant colony optimization routing protocol with bi-directional and hop-by-hop pheromone update for ad hoc networks(CLABHPU).
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