外部可进化硬件的双向增量进化

T. Kalganova
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引用次数: 83

摘要

可进化硬件(EHW)是一种设计复杂系统的新技术。通常情况下,复杂的系统是很难进化的。问题是一般策略对于进化过程来说太难直接发现了。本文提出了一种从复杂系统到子系统和从子系统到复杂系统两个方向进行增量进化的新方法。在这种方法中,增量进化将一个复杂的问题逐渐分解成一些子任务。在第二步中,我们逐渐使任务更具挑战性和一般性。我们的方法可以自动发现子任务、子任务的顺序以及电路布局的尺寸。我们的方法在数字电路领域进行了测试,并与直接进化进行了比较。我们表明,我们的双向增量方法可以处理更复杂、更困难的任务,并且比直接进化更有效地进化它们。
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Bidirectional incremental evolution in extrinsic evolvable hardware
Evolvable Hardware (EHW) has been proposed as a new technique to design complex systems. Often, complex systems turn out to be very difficult to evolve. The problem is that a general strategy is too difficult for the evolution process to discover directly. This paper proposes a new approach that performs incremental evolution in two directions: from complex system to sub-systems and from sub-systems back to complex system. In this approach, incremental evolution gradually decomposes a complex problem into some sub-tasks. In a second step, we gradually make the tasks more challenging and general. Our approach automatically discovers the sub-tasks, their sequence as well as circuit layout dimensions. Our method is tested in a digital circuit domain and compared to direct evolution. We show that our bidirectional incremental approach can handle more complex, harder tasks and evolve them more effectively, then direct evolution.
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