Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
Abstract— Robotics researchers are often faced with realtime constraints, and for that reason algorithmic and implementation-level optimization can dramatically increase the over...
Abstract. In this paper we propose an optimal anytime version of constrained simulated annealing (CSA) for solving constrained nonlinear programming problems (NLPs). One of the goa...
This paper presents a new approach to understand the event stream model. Additionally a new approximation algorithm for the feasibility test of the sporadic and the generalized mu...
We describe an algorithm for the synthesis and optimization of interface circuits for embedded system components such as microprocessors, memory ASIC, and network subsystems with ...