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A fuzzy-based lifetime extension of genetic algorithms
Mark Last
, Shay Eyal
Department of Software and Information Systems Engineering
Research output
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Contribution to journal
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Article
›
peer-review
54
Scopus citations
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Dive into the research topics of 'A fuzzy-based lifetime extension of genetic algorithms'. Together they form a unique fingerprint.
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Keyphrases
Genetic Algorithm
100%
Fuzzy Based
100%
Life Extension
100%
Crossover Probability
40%
Premature Convergence
40%
Middle-aged
20%
Fuzzy Logic Controller
20%
Knowledge Discovery
20%
Young-old
20%
Young Individuals
20%
Model Selection
20%
Optimization Task
20%
Older Individuals
20%
Classification Model
20%
Benchmark Problems
20%
Age Interval
20%
Crisps
20%
Parameter Setting
20%
Adaptive Technique
20%
Exploitation Ability
20%
Adaptive Genetic Algorithm
20%
Simple Genetic Algorithm
20%
Exploration Capability
20%
Linguistic Variable
20%
Computer Science
Genetic Algorithm
100%
Crossover Probability
33%
Fuzzy Logic
16%
Knowledge Discovery
16%
Optimization Task
16%
Classification Models
16%
Benchmark Problem
16%
Input Parameter
16%
adaptive genetic algorithm
16%
Linguistic Variable
16%
Biochemistry, Genetics and Molecular Biology
Lifespan
100%
Genetic Algorithm
100%
Knowledge Discovery
14%
Engineering
Genetic Algorithm
100%
Crossover Probability
28%
Tasks
14%
Fuzzy Logic Controller
14%
Benchmark Problem
14%
Input Parameter
14%
Linguistic Variable
14%
Neuroscience
Behavior (Neuroscience)
100%