We are using bandit-based adaptive operator selection while autotuning parallel computer programs. The autotuning, which uses evolutionary algorithm-based stochastic sampling, take...
Maciej Pacula, Jason Ansel, Saman P. Amarasinghe, ...
The problem of systematically synthesizing hybrid controllers which satisfy multiple control objectives is considered. We present a technique, based on the principles of optimal c...
State encoding is one of the most difficult problems in the synthesis of asynchronous controllers. This paper presents a method that can solve the problem of large controllers spec...
A control flow trace captures the complete sequence of dynamically executed basic blocks and function calls. It is usually of very large size and therefore commonly stored in com...
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...