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» On the Strength of Size Limits in Linear Genetic Programming
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ATAL
2006
Springer
13 years 10 months ago
Solving POMDPs using quadratically constrained linear programs
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
CEC
2010
IEEE
13 years 7 months ago
Evolving programs with parameters and loops
At the current state of the art, genetic programs do not contain two constructs that commonly occur in programs written by humans, that is, loops and functions with parameters. In ...
Gayan Wijesinghe, Victor Ciesielski
BMCBI
2010
161views more  BMCBI 2010»
13 years 6 months ago
CGHpower: exploring sample size calculations for chromosomal copy number experiments
Background: Determining a suitable sample size is an important step in the planning of microarray experiments. Increasing the number of arrays gives more statistical power, but ad...
Ilari Scheinin, Jose A. Ferreira, Sakari Knuutila,...
ASPDAC
2008
ACM
145views Hardware» more  ASPDAC 2008»
13 years 8 months ago
Mixed integer linear programming-based optimal topology synthesis of cascaded crossbar switches
- We present a topology synthesis method for high performance System-on-Chip (SoC) design. Our method provides an optimal topology of on-chip communication network for the given ba...
Minje Jun, Sungjoo Yoo, Eui-Young Chung
CEC
2011
IEEE
12 years 6 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow