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GECCO
2000
Springer
108views Optimization» more  GECCO 2000»
13 years 8 months ago
Hierarchical Problem Solving and the Bayesian Optimization Algorithm
The paper discusses three major issues. First, it discusses why it makes sense to approach problems in a hierarchical fashion. It de nes the class of hierarchically decomposable f...
Martin Pelikan, David E. Goldberg
GECCO
2003
Springer
13 years 10 months ago
Hierarchical BOA Solves Ising Spin Glasses and MAXSAT
Abstract. Theoretical and empirical evidence exists that the hierarchical Bayesian optimization algorithm (hBOA) can solve challenging hierarchical problems and anything easier. Th...
Martin Pelikan, David E. Goldberg
GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
13 years 10 months ago
Simultaneity Matrix for Solving Hierarchically Decomposable Functions
The simultaneity matrix is an × matrix of numbers. It is constructed according to a set of -bit solutions. The matrix element mij is the degree of linkage between bit positions i ...
Chatchawit Aporntewan, Prabhas Chongstitvatana
EMO
2003
Springer
81views Optimization» more  EMO 2003»
13 years 10 months ago
Solving Hierarchical Optimization Problems Using MOEAs
Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...
Christian Haubelt, Sanaz Mostaghim, Jürgen Te...
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
13 years 10 months ago
On the complexity of hierarchical problem solving
Competent Genetic Algorithms can efficiently address problems in which the linkage between variables is limited to a small order k. Problems with higher order dependencies can onl...
Edwin D. de Jong, Richard A. Watson, Dirk Thierens