We present a general decomposition algorithm that is uniformly applicable to every (suitably normalized) instance of Convex Quadratic Optimization and efficiently approaches an o...
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Evolutionary algorithms (EAs) are increasingly being applied to solve real-parameter optimization problems due to their flexibility in handling complexities such as non-convexity,...
Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joyd...
Sensor networks and other distributed information systems (such as the Web) must frequently access data that has a high per-attribute acquisition cost, in terms of energy, latency...
Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel ...
Targeted optimization of program segments can provide an additional program speedup over the highest default optimization level, such as -O3 in GCC. The key challenge is how to au...
Haiping Wu, Eunjung Park, Mihailo Kaplarevic, Ying...