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ANOR
2004
79views more  ANOR 2004»
14 years 9 months ago
Preference-Based Search and Multi-Criteria Optimization
Many real-world AI problems (e.g. in configuration) are weakly constrained, thus requiring a mechanism for characterizing and finding the preferred solutions. Preferencebased sear...
Ulrich Junker
AAAI
1998
14 years 11 months ago
Multi Machine Scheduling: An Agent-Based Approach
Scheduling of multiple parallel machinesin the face of sequence dependent setups and downstream considerations is a hard problem. No single efficient algorithm is guaranteedto pro...
Rama Akkiraju, Pinar Keskinocak, Sesh Murthy, Fred...
JAT
2010
171views more  JAT 2010»
14 years 4 months ago
Chebyshev approximation of the null function by an affine combination of complex exponential functions
We describe the theoretical solution of an approximation problem that uses a finite weighted sum of complex exponential functions. The problem arises in an optimization model for t...
Paul Armand, Joël Benoist, Elsa Bousquet
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 1 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
ISCC
2005
IEEE
15 years 3 months ago
Optimal Delay-Constrained Minimum Cost Loop Algorithm for Local Computer Network
This study deals with the Delay-Constrained Minimum Cost Loop Problem (DC-MCLP) of finding several loops from a source node. The DC-MCLP consists of finding a set of minimum cost ...
Yong-Jin Lee, Mohammed Atiquzzaman