2012 IEEE Congress on Evolutionary Computation 2012
DOI: 10.1109/cec.2012.6256593
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Convergence measurement in evolutionary computation using Price's theorem

Abstract: Abstract-Evolutionary computations are naturally inspired stochastic algorithms that are capable of running perpetually. When deployed as optimization tools, it is imperative to prescribe a set of definitive stopping criteria that if satisfied, the evolutionary process could be brought to a halt. User specified limits on maximum evaluations or generations are the common measures used to stop the evolution due to resource constraints that might directly/indirectly be imposed on the system. Conversely, we propos… Show more

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“…The extension to the Price's equation proposed in (Bashir and Neville, 2012) separates the individual contributions of variation operators to fitness growth during the evolution. Thus, ( 7) has a term for selection, crossover ( ) and mutation (ℳ) operators:…”
Section: ) Evaluating Population Evolvabilitymentioning
confidence: 99%
“…The extension to the Price's equation proposed in (Bashir and Neville, 2012) separates the individual contributions of variation operators to fitness growth during the evolution. Thus, ( 7) has a term for selection, crossover ( ) and mutation (ℳ) operators:…”
Section: ) Evaluating Population Evolvabilitymentioning
confidence: 99%