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» UMDAs for dynamic optimization problems
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118
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GECCO
2006
Springer
282views Optimization» more  GECCO 2006»
15 years 4 months ago
A genetic algorithm for the longest common subsequence problem
A genetic algorithm for the longest common subsequence problem encodes candidate sequences as binary strings that indicate subsequences of the shortest or first string. Its fitnes...
Brenda Hinkemeyer, Bryant A. Julstrom
109
Voted
JVA
2006
IEEE
15 years 6 months ago
Simulated Annealing for Grid Scheduling Problem
Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geographicall...
Stefka Fidanova
GECCO
2009
Springer
193views Optimization» more  GECCO 2009»
15 years 5 months ago
Optimization of dynamic memory managers for embedded systems using grammatical evolution
New portable consumer embedded devices must execute multimedia applications (e.g., 3D games, video players and signal processing software, etc.) that demand extensive memory acces...
José L. Risco-Martín, David Atienza,...
100
Voted
CDC
2009
IEEE
165views Control Systems» more  CDC 2009»
15 years 5 months ago
Achieving symmetric Pareto Nash equilibria using biased replicator dynamics
— Achieving the Nash equilibria for single objective games is known to be a computationally difficult problem. However there is a special class of equilibria called evolutionary...
Kiran Somasundaram, John S. Baras
105
Voted
IANDC
2006
86views more  IANDC 2006»
15 years 18 days ago
Table design in dynamic programming
Dynamic Programming solves combinatorial optimization problems by recursive decomposition and tabulation of intermediate results. The first step in the design of a dynamic program...
Peter Steffen, Robert Giegerich