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The Density of States - A Measure Difficulty of Optimisation Problems

机译:状态的密度 - 衡量优化问题的难度

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We introduce a classifying measure of fitness landscapes -the density of states - for continuous and discrete problems, especially optimisation of sequences and graphs. By means of the Boltzmann strategy we obtain a simple algorithm to calculate the density of states for a given problem. Knowing the density of states we are able to approximate the optimal fitness value of the problem which makes it feasible to asses the effectivity of practical optimisations.
机译:我们介绍了健身景观的分类衡量标准 - 状态的密度 - 用于连续和离散问题,特别是序列和图表的优化。通过Boltzmann策略,我们获得了一种简单的算法来计算给定问题的状态密度。了解状态的密度我们能够近似问题的最佳选择性值使得可以赋予实际优化的有效性。

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