Titlebook: Stochastic Algorithms: Foundations and Applications; International Sympos Kathleen Steinhöfel Conference proceedings 2001 Springer-Verlag B

地壳

弯腰

发展

Randomized Branching Programs,and are also used as a data structure in practice. The talk discusses randomized variants of branching programs which allow to study the relative power of deterministic, nondeterministic, and randomized algorithms in a scenario where space is the primary resource.

玉米

Yet Another Local Search Method for Constraint Solving,w heuristics that takes advantage of the structure of the problem in terms of constraints and variables and can guide the search more precisely than a global cost function to optimize (such as for instance the number of violated constraints). We also use an adaptive memory in the spirit of Tabu Sear

改良

An Evolutionary Algorithm for the Sequence Coordination in Furniture Production,ribute of a new part changes. The problem consists in finding a common sequence of batches optimizing an overall utility index. A metaheuristic approach is presented which allows to solve a set of real-life instances and performs satisfactorily on a large sample of experimental data.

Handedness

Evolutionary Search for Smooth Maps in Motor Control Unit Calibration,ibration. The problem is of a particular interest because of its characteristics: it is NP-hard, it has a direct and important industrial application, it is easy-to-state and it shares some properties of the wellknown Ising spin glass model. Moreover, it is appropriate for the application of randomi

Itinerant

Some Notes on Random Satisfiability,m 3-SAT formulas show a phase transition: for any large number of variables ., sparse random formulas (with . ≤ 3.145. clauses) are almost always satisfiable, dense ones (with . ≥ 4.596. clauses) are almost always unsatisfiable, and the transition occurs sharply when . crosses some threshold. It is

混合物

Prospects for Simulated Annealing Algorithms in Automatic Differentiation,ven vector function using the minimal number of arithmetic operations. Building on vertex elimination in computational graphs we describe how simulated annealing can be used to find good approximations to the solution of this problem at a reasonable cost.

Orchiectomy

Optimization and Simulation: Sequential Packing of Flexible Objects Using Evolutionary Algorithms,e to be packed sequentially. They adapt themselves to the surface they are packed on, but their deformation can only be simulated. This type of problem is the two-dimensional cross-section of manufacturing processes where soft material is wound onto a mandrel. We formulate this as a problem of dynam

投票

Stochastic Finite Learning,models. The motivation for this work is as follows. Within Gold’s (1967) model of learning in the limit many important learning problems can be formalized and it can be shown that they are algorithmically solvable .. However, since a limit learner is only supposed to converge, one never knows at any