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» On the Brittleness of Evolutionary Algorithms
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BIOCOMP
2006
15 years 8 months ago
PAC: Progressive Alignment with Consensus Sequences
Computation of multiple sequence alignments is one of the major open problems in computational molecular biology. The purpose of this study was to provide a new method, PAC (Progre...
Ke Liu, Mansur H. Samadzadeh
HIS
2001
15 years 7 months ago
Global Optimisation of Neural Networks Using a Deterministic Hybrid Approach
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
Gleb Beliakov, Ajith Abraham
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 7 months ago
Solving constrained multi-objective problems by objective space analysis
In this paper a new approach to solve constrained multi-objective problems by way of evolutionary multi-objective optimization is introduced. In contrast to former evolutionary ap...
Gideon Avigad, Carlos A. Coello Coello
IJDMB
2010
61views more  IJDMB 2010»
15 years 5 months ago
On a novel coalescent model for genome-wide evolution of Copy Number Variations
: Since we are limited in our knowledge of human demographic history and variations of recombination and mutation rates, large-scale computer simulation is a necessary tool in gene...
Antonina Mitrofanova, Bhubaneswar (Bud) Mishra
IEEECIT
2009
IEEE
16 years 1 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi