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首页> 外文会议>International Conference on Principles and Practice of Constraint Programming(CP 2007); 20070923-27; Providence,RI(US) >Model-Driven Visualizations of Constraint-Based Local Search
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Model-Driven Visualizations of Constraint-Based Local Search

机译：基于约束的本地搜索的模型驱动可视化

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摘要

Visualization is often invaluable to understand the behavior of optimization algorithms, identify their bottlenecks or pathological behaviors, and suggest remedies. Yet developing visualizations is a tedious activity requiring significant time and expertise. This paper presents a framework for the visualization of constraint-based local search (CBLS). Given a high-level model and a declarative visualization specification, the CBLS visualizer systematically produces animations to visualize constraints and objectives, violations, and conflicts, as well as the temporal behavior of these measures. The visualization specification is composed of a triple (what,where,how) indicating what to display, where, and how. The visualizer architecture is compositional and extensible, and focuses almost exclusively on static aspects, the dynamic aspects being automated by invariants. The paper highlights various functionalities of the visualizer and describes a blueprint for its implementation.
机译：可视化通常对于了解优化算法的行为，确定其瓶颈或病理行为以及建议补救措施非常重要。然而，开发可视化是一项繁琐的工作，需要大量的时间和专业知识。本文提出了一个基于约束的本地搜索（CBLS）可视化的框架。给定一个高级模型和一个声明性的可视化规范，CBLS可视化器系统地生成动画以可视化约束和目标，违反和冲突以及这些度量的时间行为。可视化规范由指示要显示的内容，位置和方式的三元组（内容，位置，方式）组成。可视化器体系结构是组合的和可扩展的，并且几乎只专注于静态方面，而动态方面则由不变量自动实现。本文重点介绍了可视化器的各种功能，并描述了其实现的蓝图。

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