Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
This paper studies the optimality, scalability and stability of stateof-the-art partitioning and placement algorithms. We present algorithms to construct two classes of benchmarks...
In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) and a sub-regional harmony search (SHS) are hybridized to obtain DMS-PSO-SHS. A Modified multi-trajectory ...
This paper studies the problem of resource availability in the context of mobile code for embedded systems such as smart cards. It presents an architecture dedicated to controlling...
Current methods for selectivity estimation fall into two broad categories, synopsis-based and sampling-based. Synopsis-based methods, such as histograms, incur minimal overhead at ...