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» Solving iterated functions using genetic programming
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127
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GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
15 years 4 months ago
Exploiting the path of least resistance in evolution
Hereditary Repulsion (HR) is a selection method coupled with a fitness constraint that substantially improves the performance and consistency of evolutionary algorithms. This als...
Gearoid Murphy, Conor Ryan
IJBRA
2008
66views more  IJBRA 2008»
15 years 3 months ago
Integer programming-based approach to allocation of reporter genes for cell array analysis
Abstract Observing behaviors of protein pathways and genetic networks under various environments in living cells is essential for unraveling disease and developing drugs. For that ...
Morihiro Hayashida, Fuyan Sun, Sachiyo Aburatani, ...
131
Voted
GECCO
2005
Springer
157views Optimization» more  GECCO 2005»
15 years 9 months ago
Simple addition of ranking method for constrained optimization in evolutionary algorithms
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
Pei Yee Ho, Kazuyuki Shimizu
126
Voted
COR
2008
99views more  COR 2008»
15 years 3 months ago
Repairing MIP infeasibility through local branching
Finding a feasible solution to a generic Mixed-Integer Program (MIP) is often a very difficult task. Recently, two heuristic approaches called Feasibility Pump and Local Branching...
Matteo Fischetti, Andrea Lodi
175
Voted
JMLR
2012
13 years 6 months ago
Multi Kernel Learning with Online-Batch Optimization
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
Francesco Orabona, Jie Luo, Barbara Caputo