In many markets, customer preferences depend on the activity of the customer. The authors have previously demonstrated a model that allows the testing of the qualitative judgements of domain experts in spirits markets against relevant EPOS price and sales data. This paper extends the use of context dependent customer preferences to the case where domain experts lack confidence in their judgemen...

The freeform surface adaptive interferometer (FSAI) recently has been employed to realize the unknown metrology. A near null interferogram should be acquired from initial with undistinguished fringes even dark areas. direct optimization object in FSAI is just rather than focusing intensity characterization traditional wavefront-sensorless (WFS) systems. simulated annealing-hill climbing (SA-HC)...

Generalized hill climbing algorithms provide a framework for modeling several local search algorithms for hard discrete optimization problems. This paper introduces and analyzes generalized hill climbing algorithm performance measures that reflect how effectively an algorithm has performed to date in visiting a global optimum and how effectively an algorithm may perform in the future in visitin...

This paper is focused on introducing a hill-climbing algorithm as a way to solve the problem of generating typical testors -or non-reducible descriptorsfrom a training matrix. All the algorithms reported in the state-of-the-art have exponential complexity. However, there are problems for which there is no need to generate the whole set of typical testors, but it suffices to find only a subset o...

Genetic Algorithms (GAs) are increasingly used for such purposes as deriving programs 1] and producing designs for robots 2]. According to the building-block hypothesis and schema analysis of Holland 3] the GA is an eecient search method. However, empirical work has shown that in some cases the method is outperformed by simpler processes such as random-permutation hill climbing 4] and 5]. The p...

Rolling stock allocation is the process of assigning timetable schedules to physical train units. This is primarily done by connecting together schedules at their terminal locations (known as schedule associations). Platforming allocation is the process of assigning those associations to particular platforms. A simple last-in, first-legal-out algorithm is used for rolling stock allocation that ...

Reinforcement learning based on direct search in policy space requires few assumptions about the environment. Hence it is applicable in certain situations where most traditional reinforcement learning algorithms based on dynamic programming are not, especially in partially observable, deterministic worlds. In realistic settings, however, reliable policy evaluations are complicated by numerous s...