提出了基于协同进化遗传算法的自动谈判算法，模拟了有限期轮流出价谈判协议中的策略学习机制。

This paper proposes an automatic negotiation algorithm based on co-evolutionary algorithm, and simulates the strategy learning mechanism in the finite horizon alternating offer negotiation protocol.

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使用两种协同进化算法和MOGA算法，对6个测试函数进行了测试，并从两个指标上对算法性能进行了比较，实验结果表明，协同进化算法较传统的遗传算法有更好的搜索能力。

These two methods and MOGA are used to solve 6 test functions, and we compare their performance from two indices. It is proved that CEAs have more search ability than traditional GAs.

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