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GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
15 years 4 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
98
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GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
15 years 5 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 4 months ago
Combining a Memetic Algorithm with Integer Programming to Solve the Prize-Collecting Steiner Tree Problem
The prize-collecting Steiner tree problem on a graph with edge costs and vertex profits asks for a subtree minimizing the sum of the total cost of all edges in the subtree plus th...
Gunnar W. Klau, Ivana Ljubic, Andreas Moser, Petra...
EVOW
2007
Springer
15 years 2 months ago
Evaluation of Different Metaheuristics Solving the RND Problem
RND (Radio Network Design) is a Telecommunication problem consisting in covering a certain geographical area by using the smallest number of radio antennas achieving the biggest co...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
IJCAI
1989
15 years 2 days ago
Functional Representation of Designs and Redesign Problem Solving
gn problem can be abstractly characterized as a constrained function-to-structure mapping. The de­ sign task takes as input the specifications of the desired functions of a device...
Ashok K. Goel, B. Chandrasekaran