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The general-purpose system for studying, sort, and the optimization which use artificial intelligence

机译:使用人工智能的学习,分类和优化通用系统

摘要

A parallel, distributed processing system is provided for solving NP-hard problems, and the like, efficiently, quickly and accurately. The system employs parallel processors which are iteratively and intelligently allocated for a series of generations of child solutions from selected, previous generation or parent solutions. The system employs multiple levels of competition for generating a next level of possible solutions and for reallocating processor resources to the most promising regions for finding a best solution to the task. This includes both inter-family competition, as well as intra-family competition. System temperature data are set and gradually decreased with each succeeding generation. A degree of randomness is entered into the solution generation. The hierarchical and iterative process, incorporating randomness and a decreasing temperature provides for the guided evolutionary simulated annealing solution generation.
机译:提供了一种并行的,分布式处理系统,用于有效,快速和准确地解决NP难题。该系统采用并行处理器,这些并行处理器被迭代地和智能地分配给来自选定的,前一代或父代解决方案的一系列子解决方案。该系统采用多个级别的竞争来生成下一级别的可能解决方案,并将处理器资源重新分配给最有前途的区域,以找到任务的最佳解决方案。这既包括家庭内部竞争,也包括家庭内部竞争。设置系统温度数据,并在以后的每一代中逐渐降低。在解决方案生成中输入一定程度的随机性。分层和迭代的过程,结合了随机性和降低的温度,为引导演化的模拟退火溶液生成提供了指导。

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