Distributed Planning in Processes Customization

2012 ◽  
Author(s):  
Tiago Furtado ◽  
Alcione de Paiva Oliveira ◽  
Jose Luis Braga ◽  
Jose Elias Claudio Arroyo ◽  
Vitor Gomes Ramalho
Keyword(s):  
Distributed Planning

Towards a distributed planning of decision making under uncertainty for a fleet of robots

2020 ◽  
Author(s):  
Paul Jourdan ◽  
Guillaume Lozenguez ◽  
Luc Fabresse ◽  
Noury Bouraqadi
Keyword(s):  
Decision Making ◽  
Decision Making Under Uncertainty ◽  
Distributed Planning

Decentralized negotiation: An approach to the distributed planning problem

1992 ◽  
Vol 1 (2) ◽  
pp. 161-191 ◽  
Author(s):  
Theresa A. Moehlman ◽  
Victor R. Lesser ◽  
Brandon L. Buteau
Keyword(s):  
Planning Problem ◽  
Distributed Planning

Getting the Right Tools for the Job: Distributed Planning in Cardiac Surgery

2004 ◽  
Vol 34 (6) ◽  
pp. 708-717 ◽  
Author(s):  
B. Hazlehurst ◽  
C. McMullen ◽  
P. Gorman
Keyword(s):  
Cardiac Surgery ◽  
Distributed Planning ◽  
The Right

Representations for Distributed Planning

2003 ◽  
pp. 701-725 ◽  
Author(s):  
Valerie Shalin ◽  
Pamela McCraw
Keyword(s):  
Distributed Planning

scholarly journals Model-based integration of constrained search spaces into distributed planning of active power provision

2013 ◽  
Vol 10 (4) ◽  
pp. 1823-1854 ◽  
Author(s):  
Jörg Bremer ◽  
Michael Sonnenschein
Keyword(s):  
Optimization Methods ◽  
Active Power ◽  
Electricity Sector ◽  
Energy Resources ◽  
Feasible Region ◽  
Support Vector ◽  
Energy Unit ◽  
Distributed Planning ◽  
Search Spaces ◽  
The Individual

The current upheaval in the electricity sector demands distributed generation schemes that take into account individually configured energy units and new grid structures. At the same time, this change is heading for a paradigm shift in controlling these energy resources within the grid. Pro-active scheduling of active power within a (from a controlling perspective) loosely coupled group of distributed energy resources demands for distributed planning and optimization methods that take into account the individual feasible region in local search spaces modeled by surrogate models. We propose a method that uses support vector based black-box models for re-constructing feasible regions for automated, local solution repair during scheduling and combine it with a distributed greedy approach for finding an appropriate partition of a desired target schedule into operable schedules for each participating energy unit.

An Architecture for Defeasible-Reasoning-Based Cooperative Distributed Planning

2011 ◽  
pp. 200-217 ◽  
Author(s):  
Sergio Pajares Ferrando ◽  
Eva Onaindia ◽  
Alejandro Torreño
Keyword(s):  
Defeasible Reasoning ◽  
Distributed Planning

Distributed Planning in Product Recovery Networks

2006 ◽  
pp. 179-184
Author(s):  
Eberhard Schmid ◽  
Grit Walther ◽  
Thomas Spengler
Keyword(s):  
Product Recovery ◽  
Distributed Planning
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