Computer Engineering Commons^™

A Study Of Hardware Efficient Recombination Variants In A Mini Population Genetic Algorithm, Shiva Satya Ramesh Varma Bhupathiraju Venkata

Browse all Theses and Dissertations

Evolvable Hardware is an emerging sub-field of evolutionary computation in which evolutionary algorithms are employed to create designs for hardware devices. Recent work has combined continuous time recurrent neural networks with the Mini Population (Minipop) Evolutionary Algorithm to create self-configuring device controllers. Standard Minipop eschews recombination operators due to the belief that they increase the size of an algorithm's on chip implementation without adding significant search power for finding neural network controllers. The focus of this thesis is to challenge that thinking by testing a number of hardware efficient recombination operators against two benchmark problems. We consider variants that recombine …