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by a set of connected neurons and are mainly used for pattern recognition, forecasting, classi cation, and data mining but are also useful in other application domains In scheduling up to now, only a few problems have been investigated for the use of speci c neural networks allowing optimization (Biethahn et al, 1998) One main disadvantage is the in exibility of the networks, that is, for slightly changed situations, new networks have to be established Distributed Problem Solving (Multi-agents) Here the cooperative character of problem solving is emphasized The systems developed are based on the idea of cooperating intelligent agents, each of them responsible for solving a speci c task of the whole scheduling problem (Jennings et al, 1998) Often, an active control-oriented approach is preferred, where the control of the actual shop oor is highlighted and predictive scheduling is only of secondary importance.

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The main questions in the design of agent-based systems are how to divide the system into agents, what are the responsibilities and facilities of an agent, and how the agents communicate A major point is the kind of scheduling knowledge that is incorporated in an agent All the approaches mentioned before may be useful here Therefore, a lot of research is actually done in this area Table 92 will show the appropriateness of the problem-solving strategies for the scheduling tasks mentioned above In spite of a large number of developed scheduling methods, only a few practical applications have entered into everyday use in industrial reality Most of them have been created for scheduling tasks of local production sites (Sauer and Bruns, 1997; Zweben and Fox, 1994), all using the experience of human experts and problemspeci c knowledge of the application domain.

Figure 2-9 Each table in the data warehouse has an element of time as a part of the key structure, usually the lower part.

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Experience, especially obtained in projects addressing real-world scheduling problems, has shown that not only the applied scheduling methods, but also several other features play a signi cant role for the acceptance of scheduling systems (Kempf et al, 1991) Hence, some of the important features of a scheduling system should be:.

FIGURE 11.28. Two conjugate planes, one plane before refraction on the optical system, at a distance z from the pupil and, the second plane after refraction, at a distance l from the focus of the system. (a) With the rst plane at the back of the pupil and the second plane inside of focus. (b) With the rst plane at the front of the pupil and the second plane outside of focus, using an auxiliary small lens with focal length f/2.

FIGURE 1.40. Three possible orientations for the surfaces whose deviations with respect to an ideal plane are to be determined.

1. Find out your key s ID number. Do this by giving the following command:

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