e-GRASP: an integrated evolutionary and GRASP resource for exploring disease associations

Grasp with Evolutionary Path-relinking

We propose GRASP with evolutionary path-relinking, a metaheuristic resulting from the hybridization of GRASP, path-relinking, and evolutionary path-relinking. This metaheuristic is applied to a network migration problem. Experiments show that a GRASP with evolutionary path-relinking heuristic finds solutions faster than a heuristic based on GRASP with path-relinking as well as one based on pure...

Grasp: an Annotated Bibliography

A greedy randomized adaptive search procedure (GRASP) is a metaheuristic for combinatorial optimization. It is a multi-start or iterative process, in which each GRASP iteration consists of two phases, a construction phase, in which a feasible solution is produced, and a local search phase, in which a local optimum in the neighborhood of the constructed solution is sought. Since 1989, numerous p...

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RID-GRASP: Redundancy Identification and Removal Using GRASP

Redundancy identification and removal is a critical step that typically follows logic synthesis or optimization. In principle, it should be possible to restrict the transformations applied by synthesis and optimization algorithms to those that preserve testability. In practice, however, few, if any, synthesis programs can guarantee the irredundancy of the logic circuits they produce. It may als...

robot 1 Human Grasp Choice and Robotic Grasp Analysis

In studying grasping and manipulation we find two very different approaches to the subject: knowledge-based approaches based primarily on empirical studies of human grasping and manipulation, and analytical approaches based primarily on physical models of the manipulation process. This chapter begins with a review of studies of human grasping, in particular our development of a grasp taxonomy a...