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GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
14 years 28 days ago
A survey of mutation techniques in genetic programming
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
Alan Piszcz, Terence Soule
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 1 months ago
Variable size population for dynamic optimization with genetic programming
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. pro...
Leonardo Vanneschi, Giuseppe Cuccu
CORR
2008
Springer
109views Education» more  CORR 2008»
13 years 9 months ago
A Generic Top-Down Dynamic-Programming Approach to Prefix-Free Coding
Given a probability distribution over a set of n words to be transmitted, the Huffman Coding problem is to find a minimal-cost prefix free code for transmitting those words. The b...
Mordecai Golin, Xiaoming Xu, Jiajin Yu
ANOR
2006
69views more  ANOR 2006»
13 years 9 months ago
A splitting method for stochastic programs
This paper derives a new splitting-based decomposition algorithm for convex stochastic programs. It combines certain attractive features of the progressive hedging algorithm of Roc...
Teemu Pennanen, Markku Kallio
IJFCS
2006
63views more  IJFCS 2006»
13 years 9 months ago
Critical Path Scheduling Parallel Programs on an Unbounded Number of Processors
In this paper we present an efficient algorithm for compile-time scheduling and clustering of parallel programs onto parallel processing systems with distributed memory, which is ...
Mourad Hakem, Franck Butelle