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ESWA
2007
100views more  ESWA 2007»
13 years 7 months ago
Using memetic algorithms with guided local search to solve assembly sequence planning
The goal of assembly planning consists in generating feasible sequences to assemble a product and selecting an efficient assembly sequence from which related constraint factors su...
Hwai-En Tseng, Wen-Pai Wang, Hsun-Yi Shih
CEC
2005
IEEE
14 years 1 months ago
Constraint quadratic approximation operator for treating equality constraints with genetic algorithms
Abstract- This paper presents a new operator for genetic algorithms that enhances their convergence in the case of nonlinear problems with nonlinear equality constraints. The propo...
Elizabeth F. Wanner, Frederico G. Guimarães...
CP
2003
Springer
14 years 23 days ago
Solving Finite Domain Constraint Hierarchies by Local Consistency and Tree Search
We provide a reformulation of the constraint hierarchies (CHs) framework based on the notion of error indicators. Adapting the generalized view of local consistency in semiring-ba...
Stefano Bistarelli, Philippe Codognet, Kin Chuen H...
PRICAI
1998
Springer
13 years 11 months ago
Dynamic Constraint Weighting for Over-Constrained Problems
Many real-world constraint satisfaction problems (CSPs) can be over-constrained but contain a set of mandatory or hard constraints that have to be satisfied for a solution to be ac...
John Thornton, Abdul Sattar
ATAL
2010
Springer
13 years 8 months ago
A general, fully distributed multi-agent planning algorithm
We present a fully distributed multi-agent planning algorithm. Our methodology uses distributed constraint satisfaction to coordinate between agents, and local planning to ensure ...
Raz Nissim, Ronen I. Brafman, Carmel Domshlak