摘要翻译：
当相当数量的突变对适应度值没有影响时，适应度景观被称为中性。为了研究现实应用中存在的中性与元启发式性能之间的相互作用，设计能够精确调整中性度分布的景观是非常有用的。尽管已有许多中性景观模型被设计出来，但没有一个模型具有足够的通用性来创建具有特定中性度分布的景观。我们提出了三个步骤来设计这种景观：首先用一个算法构造一个分布大致符合目标分布的景观，然后用模拟退火启发式使两个分布更加接近，最后影响每个神经网络的适应度值。然后使用这个新的健身景观家族，我们能够突出欺骗性和中立性之间的相互作用。
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英文标题：
《Deceptiveness and Neutrality - the ND family of fitness landscapes》
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作者：
William Beaudoin (I3S), S\'ebastien Verel (I3S), Philippe Collard
  (I3S), Cathy Escazut (I3S)
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最新提交年份：
2009
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  When a considerable number of mutations have no effects on fitness values, the fitness landscape is said neutral. In order to study the interplay between neutrality, which exists in many real-world applications, and performances of metaheuristics, it is useful to design landscapes which make it possible to tune precisely neutral degree distribution. Even though many neutral landscape models have already been designed, none of them are general enough to create landscapes with specific neutral degree distributions. We propose three steps to design such landscapes: first using an algorithm we construct a landscape whose distribution roughly fits the target one, then we use a simulated annealing heuristic to bring closer the two distributions and finally we affect fitness values to each neutral network. Then using this new family of fitness landscapes we are able to highlight the interplay between deceptiveness and neutrality.
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PDF链接：
https://arxiv.org/pdf/0901.3769