NDLI: Real-coded crossover as a role of kernel density estimation

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Evolutionary form-finding of tensegrity structures

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BeeAdHoc: an energy efficient routing algorithm for mobile ad hoc networks inspired by bee behavior

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Identifying valid solutions for the inference of regulatory networks

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Memory-based immigrants for genetic algorithms in dynamic environments

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Validation of evolutionary activity metrics for long-term evolutionary dynamics

Behavior of finite population variable length genetic algorithms under random selection

On the practical genetic algorithms

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Multi-chromosomal genetic programming

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Molecular programming: evolving genetic programs in a test tube

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Analysis and mathematical justification of a fitness function used in an intrusion detection system

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Use of a genetic algorithm in brill's transformation-based part-of-speech tagger

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Goal-oriented preservation of essential genetic information by offspring selection

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Walsh transforms, balanced sum theorems and partition coefficients over multary alphabets

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Efficient credit assignment through evaluation function decomposition

A genetic algorithm for optimized reconstruction of quantized one-dimensional signals

Nonlinear feature extraction using a neuro genetic hybrid

Preservation of genetic redundancy in the existence of developmental error and fitness assignment error

Isolating the benefits of respect

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Takeover time curves in random and small-world structured populations

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Genetic algorithms using low-discrepancy sequences

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MRI magnet design: search space analysis, EDAs and a real-world problem with significant dependencies

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Evolving neural network ensembles for control problems

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Evolution of Voronoi based fuzzy recurrent controllers

An enhanced GA to improve the search process reliability in tuning of control systems

New topologies for genetic search space

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Schema disruption in tree-structured chromosomes

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Some theoretical results about the computation time of evolutionary algorithms

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Quality-time analysis of multi-objective evolutionary algorithms

Terrain generation using genetic algorithms

Improving EAX with restricted 2-opt

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A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices

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Flight midcourse guidance control based on genetic algorithm

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Real-coded crossover as a role of kernel density estimation

Content Provider	ACM Digital Library
Author	Sakuma, Jun Kobayashi, Shigenobu
Abstract	This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which determine the sampling strategy by means of a parametric probabilistic density function estimated from the population. Real-coded Genetic Algorithm (RCGA) does not explicitly estimate any probabilistic distribution, however, the probabilistic model of the population is implicitly estimated by crossovers and the sampling strategy is determined by this implicit probabilistic model. Based on this understanding, we propose a novel density estimation algorithm by using crossovers as nonparametric kernels and apply this kernel density estimation to the Gaussian Mixture modeling. We show that the proposed method is superior in the robustness of the computation and in the accuracy of the estimation by the comparison of conventional EM estimation.
Starting Page	703
Ending Page	710
Page Count	8
File Format	PDF
ISBN	1595930108
DOI	10.1145/1068009.1068127
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-06-25
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Real-coded ga Expectation maximization Crossover Kernel density estimation Gaussian mixture model
Content Type	Text
Resource Type	Article

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