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» An Introduction to Evolutionary Programming
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GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 2 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
BMCBI
2006
115views more  BMCBI 2006»
14 years 9 months ago
The accuracy of several multiple sequence alignment programs for proteins
Background: There have been many algorithms and software programs implemented for the inference of multiple sequence alignments of protein and DNA sequences. The "true" ...
Paulo A. S. Nuin, Zhouzhi Wang, Elisabeth R. M. Ti...
CEC
2008
IEEE
14 years 11 months ago
Subtree deactivation control with grammatical Genetic Programming in dynamic environments
Abstract-- We investigate the usefulness of a subtree deactivation control mechanism which is open to evolutionary learning. It is hypothesised that this representation confers an ...
Michael O'Neill, Anthony Brabazon, Erik Hemberg
BMCBI
2008
111views more  BMCBI 2008»
14 years 9 months ago
GENOMEPOP: A program to simulate genomes in populations
Background: There are several situations in population biology research where simulating DNA sequences is useful. Simulation of biological populations under different evolutionary...
Antonio Carvajal-Rodríguez
79
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EMO
2006
Springer
144views Optimization» more  EMO 2006»
15 years 1 months ago
Evolutionary Multiobjective Optimization of Steel Structural Systems in Tall Buildings
This paper presents results of extensive computational experiments in which evolutionary multiobjective algorithms were used to find Pareto-optimal solutions to a complex structura...
Rafal Kicinger, Shigeru Obayashi, Tomasz Arciszews...