Behavior synthesis and optimization beyond the register transfer level require an efficient utilization of the underlying platform features. This paper presents a platform-based ...
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
Programs written in managed languages are compiled to a platform-independent intermediate representation, such as Java bytecode. The relative high level of Java bytecode has engen...
Motivated by the ability of living cells to form specific shapes and structures, we present a computational approach using distributed genetic programming to discover cell-cell i...