An improved self-adaptive harmony search algorithm for joint replenishment problems
نویسندگان
چکیده
To solve joint replenishment problems (JRPs) effectively and efficiently which are typical NP-hard problems, an improved self-adaptive harmony search algorithm (ISHS) is designed. The proposed algorithm applies differential evolution mutation strategies to HS. Experimental results show that ISHS outperforms other start-of-art algorithms on both tested benchmark functions and typical JRPs.
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