In this paper we introduce an hybrid evolutionary algorithm for computer-aided orchestration. Our current approach to orchestration consists in replicating a target sound with a se...
We present a new random search method for solving simulation optimization problems. Our approach emphasizes the need for maintaining the right balance between exploration and expl...
Abstract. We present an algorithmic framework for integrating solution methods that is based on search, inference, and relaxation and their interactions. We show that the following...
This paper proposes a hybrid genetic algorithm for multiple sequence alignment. The algorithm evolves guide sequences and aligns input sequences based on the guide sequences. It a...
Abstract— This paper presents a search-based, real-time adaptive solution to the multi-robot coordination problem in adversarial environments. By decomposing the global coordinat...