Compressed introns in a linkage learning genetic algorithm

Over the last 10 years, many efforts have been made to design a competent genetic algorithm. This paper revisits and extends the latest of such efforts-the linkage learning genetic algorithm. Specifically, it introduces an efficient mechanism for representing the non-coding material. Recent investigations suggest that this new method is crucial for solving a large class of hard optimization problems.

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