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.

Memetic algorithms with an appropriate trade-off between the exploration and exploitation can obtain very good results in continuous optimization. In this paper, we present an improved memetic differential evolution algorithm for solving global optimization problems. The proposed approach, called memetic DE (MDE), hybridizes differential evolution (DE) with a local search (LS) operator and peri...

Recommender systems are the systems that try to make recommendations to each user based on performance, personal tastes, user behaviors, and the context that match their personal preferences and help them in the decision-making process. One of the most important subjects regarding these systems is to increase the system accuracy which means how much the recommendations are close to the user int...