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GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
13 years 11 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
CEC
2007
IEEE
14 years 2 months ago
A histogram-matching approach to the evolution of bin-packing strategies
Abstract— We present a novel algorithm for the onedimension offline bin packing problem with discrete item sizes based on the notion of matching the item-size histogram with the...
Riccardo Poli, John Woodward, Edmund K. Burke
GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
14 years 1 months ago
Grammatical Constant Creation
This study examines the utility of grammatical ephemeral random constants, and conducts an analysis of the preferences of evolutionary search when a number of different grammar ba...
Ian Dempsey, Michael O'Neill, Anthony Brabazon
CCGRID
2009
IEEE
14 years 2 months ago
Reliability-Oriented Genetic Algorithm for Workflow Applications Using Max-Min Strategy
— To optimize makespan and reliability for workflow applications, most existing works use list heuristics rather than genetic algorithms (GAs) which can usually give better solut...
Xiaofeng Wang, Rajkumar Buyya, Jinshu Su
PPSN
2004
Springer
14 years 1 months ago
Optimization via Parameter Mapping with Genetic Programming
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...
João Carlos Figueira Pujol, Riccardo Poli