Abstract. A two-population Genetic Algorithm for constrained optimization is exercised and analyzed. One population consists of feasible candidate solutions evolving toward optimal...
We present exact characterizations of structures on which the greedy algorithm produces optimal solutions. Our characterization, which we call matroid embeddings, complete the par...
Paul Helman, Bernard M. E. Moret, Henry D. Shapiro
— This paper addresses a method to optimize the robot motion planning in dynamic environments, avoiding the moving and static obstacles while the robot drives towards the goal. T...
We adopt the concept of channel diagonalization to time-frequency signal expansions obtained by DFT filter banks. As a generalization of the frequency domain channel representatio...
We present a novel sensor network query processing architecture that (a) covers all the query optimization phases that are required to map a declarative query to executable code; ...
Ixent Galpin, Christian Y. A. Brenninkmeijer, Farh...