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中文摘要：
通过用（1＋1）演化算法和单只蚂蚁的蚁群算法分别解决给出的Bin函数，Trap函数，Jump函数，对实验结果进行了深入的对比和分析，得出单只蚂蚁的优化算法在很大程度上模拟了（1＋1）演化算法，两种算法在解决Trap函数，Jump函数时都偏离最优值，以及随着信息素挥发因子的逐渐减小，单只蚂蚁算法求解拟布尔函数最优值的效率降低等结论。
英文摘要：
We undertake several experimental analysis of the Single Ant ACO System and （1＋1） evolutionary algorithm on several pseudo-boolean functions include Bin function, Trap function, Jump function. We analyze the results seriously and find that those cases where the Single Ant ACO system performs well, it basically simulates the （1＋1） evolutionary algorithm. These two algorithms deviate from the optimal value in solving the Trap function, Jump function. And as the pheromone evaporation factor decreases, the effact of the 1-Ant Algorithm to solve the problem of Boolean functions is to be lower.
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Multiobjective optimization and hybrid evolutionary algorithm to solve constrained optimization prob
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