Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadthļ¬...
Andy Yoo, Edmond Chow, Keith W. Henderson, Will Mc...
This paper extends the analogies employed in the development of quantum-inspired evolutionary algorithms by proposing quantum-inspired Hadamard walks, called QHW. A novel quantum-...
A new stochastic optimization algorithm referred to by the authors as the `Mean-Variance Optimization' (MVO) algorithm is presented in this paper. MVO falls into the category ...
Istvan Erlich, Ganesh K. Venayagamoorthy, Nakawiro...
āThis paper presents a new cooperative coevolving particle swarm optimization (CCPSO) algorithm in an attempt to address the issue of scaling up particle swarm optimization (PSO)...
āThe optimum multiuser detection (OMD) is a discrete (binary) optimization. The previously developed approaches often relax it by a semi-deļ¬nite program (SDP) and then employ r...
Hoang Duong Tuan, Tran Thai Son, Hoang Tuy, Ha H. ...