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A combinatorial optimization model for enterprise patent transfer

机译：企业专利转让的组合优化模型

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摘要

Enterprises need patent transfer strategies to improve their technology management. This paper proposes a combinatorial optimization model that is based on intelligent computing to support enterprises' decision making in developing patent transfer strategy. The model adopts the Black-Scholes Option Pricing Model and Arbitrage Pricing Theory to estimate a patent's value. Based on the estimation, a hybrid genetic algorithm is applied that combines genetic algorithms and greedy strategy for the optimization purpose. Encode repairing and a single-point crossover are applied as well. To validate this proposed model, a case study is conducted. The results indicate that the proposed model is effective for achieving optimal solutions. The combinatorial optimization model can help enterprise promote their benefits from patent sale and support the decision making process when enterprises develop patent transfer strategies.
机译：企业需要专利转让策略来改善其技术管理。本文提出了一种基于智能计算的组合优化模型，以支持企业制定专利转让策略的决策。该模型采用Black-Scholes期权定价模型和套利定价理论来估计专利的价值。基于该估计，应用了混合遗传算法，该算法结合了遗传算法和贪婪策略以实现优化目的。还应用编码修复和单点交叉。为了验证该提议的模型，进行了案例研究。结果表明，所提出的模型对于实现最优解是有效的。当企业制定专利转让策略时，组合优化模型可以帮助企业提高专利销售收益并支持决策过程。

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