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A pre-check operator for reducing algorithmic optimisation time in image processing applications
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DOI：10.1080/17517575.2020.1864022.png)
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摘要
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In image processing applications, we face the challenges of substantial computational requirements for calculating the objective function and requires considerably long optimisation time. In this paper, an operator named the pre-check operator (PCO) was proposed to reduce the whole optimization time. By integrating PCO with a standard genetic algorithm with elitist strategy (EGA), a new framework of pre-check genetic algorithm (PGA) was developed and compared with EGA based on a set of 10 benchmark instances with a known optimal solution. It was observed that PCO outperforms the results obtained using EGA.
Keyword:
Pre-check operator
optimisation
genetic algorithm
elitist strategy
image processing applications
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