The application of genetic algorithms (GAs) to many optimization problems in organizations often results in good performance and high quality solutions. For successful and efficien...
Maroun Bercachi, Philippe Collard, Manuel Clergue,...
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...