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Research on Negotiation Support Systems Based on Hybrid Genetic Algorithms

机译:基于杂交遗传算法的谈判支持系统研究

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The principle of satisfactory-based negotiation is analyzed. A satisfaction-based decision model is set up. This paper presented a decimal-coded hybrid genetic algorithm for bilateral negotiations. The optimal reserved strategy and the population entropy method were adopted in the genetic algorithm. Optimization of the hybrid genetic algorithm and solution to the satisfy-based decision model based on, of which new methods are given. The results of the experiments show that the new method is more efficient and easier to deal with the problem of negotiation than the traditional algorithms. It is fast and precise for negotiation between both parties with satisfactory project.
机译:分析了令人满意的谈判原理。建立了基于满足的决策模型。本文提出了一种用于双边谈判的小数编码混合遗传算法。遗传算法采用了最佳预留策略和群体熵方法。对基于FAL的基于满足的决策模型的混合遗传算法和解决方案的优化。实验结果表明,新方法更有效,更容易处理谈判的问题而不是传统算法。两方具有令人满意的项目之间的谈判是快速且精确的。

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