cs.AI updates on arXiv.org 07月08日 13:53
Strategies for Resource Allocation of Two Competing Companies using Genetic Algorithm
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本文通过二维伊辛模型,研究城市购物中心中店铺的战略位置,运用进化算法和蒙特卡洛方法模拟竞争环境下的市场占有率。研究发现,具有特定拓扑属性的初始布局能更快地达到市场主导地位。

arXiv:2507.02952v1 Announce Type: cross Abstract: We investigate various strategic locations of shops in shopping malls in a metropolis with the aim of finding the best strategy for final dominance of market share by a company in a competing environment. The problem is posed in the context of two competing supermarket chains in a metropolis, described in the framework of the two-dimensional Ising model. Evolutionary Algorithm is used to encode the ensemble of initial configurations and Monte Carlo method is used to evolve the pattern. Numerical simulation indicates that initial patterns with certain topological properties do evolve faster to market dominance. The description of these topological properties is given and suggestions are made on the initial pattern so as to evolve faster to market dominance.

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商业布局 伊辛模型 进化算法 市场占有率 拓扑属性
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