Abstract. Heuristic programming was the first area in which AI methods were tested. The favourite case-studies were fairly simple toyproblems, such as cryptarithmetic, games, such ...
Approximate symbolic computation problems can be formulated as constrained or unconstrained optimization problems, for example: GCD [3, 8, 12, 13, 23], factorization [5, 10], and ...
Because today’s workforce is highly mobile, small wireless devices are being used to support mobile work collaboration. However, do computer platform differences affect such col...
Marilyn Tremaine, Aleksandra Sarcevic, Dezhi Wu, M...
The optimal motion generation problem is solved subject to various actuator constraints while the motion is constrained to an arbitrary path. The considered objective function is ...
Two-stage stochastic mixed-integer programming (SMIP) problems with recourse are generally difficult to solve. This paper presents a first computational study of a disjunctive cut...