Results 281 to 290 of about 5,552,368 (307)

Hierarchical Planning and the Supply Chain Planning Matrix

2011
In Section 2.1 we will introduce the principles of hierarchical planning the architecture of today’s APS. Rolling schedules follow in Section 2.2. In Section 2.3 an overview of the various planning tasks occurring in a supply chain is presented. These tasks can be structured and visualized in the Supply Chain Planning Matrix. Finally (Section 2.4), the
Stadtler, Hartmut, Fleischmann, Bernhard
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Hybrid Hierarchical Motion Planning

AIAA Guidance, Navigation and Control Conference and Exhibit, 2008
In this paper, the problem of motion planning of an autonomous agent in an uncertain environment is solved in a hierarchical fashion. At the higher level of the hierarchy, the state-space of the agent is reduced to a set of “landmarks” through the use of suitably defined control policies at the lower level, called “options”, which results in a semi ...
Suman Chakravorty, Roshmik Saha
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Hierarchical Planning

1997
Ever since the conception of Artificial Intelligence, hierarchical problem solving has been used as a method to reduce the computational cost of planning. The idea of hierarchical problem-solving, a well-accepted one, is to distinguish between goals and actions of different degrees of importance, and solve the most important problems first.
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Landmarks in Hierarchical Planning

2010
In this paper we introduce a novel landmark technique for hierarchical planning. Landmarks are abstract tasks that are mandatory. They have to be performed by any solution plan. Our technique relies on a landmark extraction procedure that pre-processes a given planning problem by systematically analyzing the ways in which relevant abstract tasks can be
Elkawkagy Mohamed, Schattenberg Bernd, Biundo Susanne   +2 more
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Planning with hierarchical structures

Proceedings of Third Australian and New Zealand Conference on Intelligent Information Systems. ANZIIS-95, 2002
The paper describes a case-based planning (CBP) system. The memory basically consists of a collection of structures of created plans. A structure captures a class of plans in a hierarchical fashion. In contrast with the existing CBP systems, the retrieving, modification, and storing mechanisms are distributed over plan operators.
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Hierarchical combinatorial planning of medical treatment

Computer Methods and Programs in Biomedicine, 2004
The paper addresses a problem of constructing a composite plan for a medical treatment on the basis of hierarchical morphological approach, multicriteria ranking, and morphological clique problem. The approach consists of the following phases: (a) hierarchical description of the medical plan; (b) generation of local alternative actions; (c ...
Mark Sh, Levin, Ludmila V, Sokolova
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Trunk Implementation Plan for Hierarchical Networks

AT&T Bell Laboratories Technical Journal, 1984
Summary: The Trunk Implementation Plan (TIP) is a multiyear schedule of planned trunk augments and disconnects that minimizes the impact of varying demand and forecast uncertainties on the cost of implementing a network meeting objective service criteria.
Kashper, A. N., Varvaloucas, G. C.
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Hierarchical motion planning under uncertainty

2007 46th IEEE Conference on Decision and Control, 2007
In this paper, the problem of motion planning of an autonomous agent in an uncertain environment is considered. The state of the augmented system is defined as the ordered pair consisting of the state of the agent and the state of the environment. At the higher level of the hierarchy, the state-space of the agent is reduced to a set of "landmarks ...
S. Chakravorty, R. Saha
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Solving Planning Tasks Hierarchically

2008
This chapter introduces the main ideas and concepts underlying the Fast Downward planner and puts them into the context of earlier research.
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HiPOP: Hierarchical Partial-Order Planning

2014
This paper describes a new planner, HiPOP (Hierarchical Partial-Order Planner), which is domain-configurable and uses POP techniques to create hierarchical time-flexible plans. HiPOP takes as inputs a description of a domain, a problem, and some optional user-defined search-control knowledge.
Bechon Patrick, Barbier Magali, Infantes Guillaume, Lesire Charles, Vidal Vincent   +4 more
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