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» On the Brittleness of Evolutionary Algorithms
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GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 4 months ago
Evolutionary algorithms and matroid optimization problems
We analyze the performance of evolutionary algorithms on various matroid optimization problems that encompass a vast number of efficiently solvable as well as NP-hard combinatoria...
Joachim Reichel, Martin Skutella
EUSFLAT
2007
126views Fuzzy Logic» more  EUSFLAT 2007»
14 years 11 months ago
Selecting the Optimal Rule Set Using a Bacterial Evolutionary Algorithm
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
Mario Drobics, János Botzheim, Klaus-Peter ...
CEC
2007
IEEE
15 years 2 months ago
A versatile quantum-inspired evolutionary algorithm
Abstract-- This study points out some weaknesses of existing Quantum-Inspired Evolutionary Algorithms (QEA) and explains in particular how hitchhiking phenomenons can slow down the...
Michael Defoin-Platel, Stefan Schliebs, Nikola Kas...
CEC
2009
IEEE
15 years 4 months ago
Comparing parameter tuning methods for evolutionary algorithms
Abstract— Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance. Optimizing parameter values is, however,...
Selmar K. Smit, A. E. Eiben
IJIT
2004
14 years 11 months ago
An Evolutionary Algorithm to Solve Cryptarithmetic Problem
Cryptarithmetic problem is an interesting constraint satisfaction problem for which different algorithms have been given. But none of them can solve the problem intelligently using...
Abu Sayef Md. Ishaque, Md. Bahlul Haider, Muhammad...