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» On Using Populations of Sets in Multiobjective Optimization
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CORR
2006
Springer
141views Education» more  CORR 2006»
14 years 9 months ago
Ideas by Statistical Mechanics (ISM)
Ideas by Statistical Mechanics (ISM) is a generic program to model evolution and propagation of ideas/patterns throughout populations subjected to endogenous and exogenous interac...
Lester Ingber
CEC
2009
IEEE
15 years 4 months ago
Theoretical analysis of rank-based mutation - combining exploration and exploitation
— Parameter setting is an important issue in the design of evolutionary algorithms. Recently, experimental work has pointed out that it is often not useful to work with a fixed ...
Pietro Simone Oliveto, Per Kristian Lehre, Frank N...
CEC
2008
IEEE
15 years 3 months ago
The simplest evolution/learning hybrid: LEM with KNN
Abstract— The Learnable Evolution Model (LEM) was introduced by Michalski in 2000, and involves interleaved bouts of evolution and learning. Here we investigate LEM in (we think)...
Guleng Sheri, David W. Corne
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
15 years 2 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher
CEC
2010
IEEE
14 years 6 months ago
Differential evolution with ensemble of constraint handling techniques for solving CEC 2010 benchmark problems
Several constraint handling techniques have been proposed to be used with the evolutionary algorithms (EAs). According to the no free lunch theorem, it is impossible for a single c...
Rammohan Mallipeddi, Ponnuthurai Nagaratnam Sugant...