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TSMC
2008
109views more  TSMC 2008»
15 years 12 days ago
Analysis of CCME: Coevolutionary Dynamics, Automatic Problem Decomposition, and Regularization
In most real-world problems, we either know little about the problems or the problems are too complex to have a clear vision on how to decompose them by hand. Thus, it is usually d...
Minh Ha Nguyen, Hussein A. Abbass, Robert I. McKay
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
15 years 1 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
123
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FLAIRS
2004
15 years 1 months ago
Dynamic Agent-Ordering and Nogood-Repairing in Distributed Constraint Satisfaction Problems
The distributed constraint satisfaction problem (CSP) is a general formalization used to represent problems in distributed multi-agent systems. To deal with realistic problems, mu...
Lingzhong Zhou, John Thornton, Abdul Sattar
AAAI
1994
15 years 1 months ago
Solution Reuse in Dynamic Constraint Satisfaction Problems
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
Gérard Verfaillie, Thomas Schiex
98
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EVOW
2005
Springer
15 years 6 months ago
Assortative Mating in Genetic Algorithms for Dynamic Problems
Non-random mating seems to be the norm in nature among sexual organisms. A common mating criteria among animals is assortative mating, where individuals mate according to their phe...
Gabriela Ochoa, Christian Mädler-Kron, Ricard...