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Lorenz Equilibrium: Concept and Evolutionary Detection

机译:洛伦兹均衡:概念和进化检测

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摘要

The most popular solution concepts in game theory, Nash and Pareto equilibrium, have some limitations when applied in real life. Nash equilibrium rarely assures maximal payoff and the Pareto equilibrium is a set of solutions that is often too hard to process. Our aim is to find an equilibrium concept that provides a small set of efficient solutions and is equitable for all players. The Lorenz dominance relation is considered and a crowding based differential evolution method is proposed to detect the Lorenz-optimal solutions. The Lorenz equilibrium for games is proposed. Experimental results show the effectiveness of the proposed approach.
机译:博弈论中最流行的解决方案概念,纳什和帕累托均衡,在现实生活中应用时有一些局限性。纳什均衡很少确保最大回报,而帕累托均衡是一组解决方案,通常很难处理。我们的目标是找到一个平衡的概念,该概念可提供少量有效解决方案,并且对所有参与者都公平。考虑了洛伦兹优势关系,提出了一种基于拥挤的差分进化方法来检测洛伦兹最优解。提出了博弈的洛伦兹均衡。实验结果表明了该方法的有效性。

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