Ant Colony Optimization (ACO) is a metaheuristic used to solve combinatorial optimization problems. As with other metaheuristics, like evolutionary methods, ACO algorithms often sh...
Memory system optimizations have been well studied on single-threaded systems; however, the wide use of simultaneous multithreading (SMT) techniques raises questions over their ef...
As semiconductor processing technology continues to scale down, managing reliability becomes an increasingly difficult challenge in high-performance microprocessor design. Transie...
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
In on-demand multi-hop routing protocols for MANETs such as DSR and AODV, a fundamental requirement for peer-to-peer connectivity is to discover routes to a remote node via flood...
Dimitrios Koutsonikolas, Saumitra M. Das, Himabind...