We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
This paper discusses novel dedicated hardware architecture for hybrid optimization based on Genetic algorithm (GA) and Simulated Annealing (SA). The proposed architecture achieves ...
Abstract. This paper describes a genetic algorithm for the DNA sequencing problem. The algorithm allows the input spectrum to contain both positive and negative errors as could be ...
A new efficient algorithm is derived for the minimal period retiming by formal manipulation. Contrary to all previous algorithms, which used binary search on a range of candidate ...
— This paper1 presents the design and implementation of an Ant Colony Optimization based algorithm for solving the DAG Layering Problem. This algorithm produces compact layerings...
Radoslav Andreev, Patrick Healy, Nikola S. Nikolov