MSGM: A Markov Model Based Similarity Guide Matrix for Optimising Ordered Problems by Balanced-Evolution Genetic Algorithms

Where traditional genetic algorithms tend to prematurely converge on local optima, adaptive strategies aim to maintain a healthy level of population diversity by introducing randomness to the population. Often times this is done through adjusting control parameters according to diversity measurement...

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Podrobná bibliografie

Hlavní autoři:	Ryoma J. Ohira, Md. Saiful Islam, Humayun Kayesh, S. M. Riazul Islam
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2020-01-01
Edice:	IEEE Access
Témata:	Adaptive optimisation balanced-evolution genetic algorithms Markov model ordered problems
On-line přístup:	https://ieeexplore.ieee.org/document/9264123/
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