Zhonghuan Tian

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A novel bio-inspired optimization algorithm called Elephant Search Algorithm (ESA) is proposed in this paper. ESA emerges from the hybridization of evolutionary mechanism and dual balancing of exploitation and exploration. The design of ESA is inspired by the behavioral characteristics of elephant herds; hence the name Elephant Search Algorithm which(More)
A novel bio-inspired optimization algorithm called elephant search algorithm (ESA) has been applied to solve NP-hard problems including the classical traveling salesman problem (TS) in this paper. ESA emerges from the hybridization of evolutionary mechanism and dual balancing of exploitation and exploration. The design of ESA is inspired by the behavioral(More)
Specific primers targeting Penicillium digitatum were developed based on fungal genes RPB1 and cmd, which are conserved among the genomes of Penicillium spp. The specific primers were designed based on the mutational sites in the homologous regions of the conserved genes. The results indicated that primer pairs RPB1–1 and cmd-3 were specific enough to(More)
Elephant Search Algorithm (ESA) is one of the contemporary meta-heuristic search algorithms recently proposed. The male elephants are responsible for global exploration, roaming to new dimensions of search space. The female elephants focus on doing local search, for finding the optimal solution. The lifespan mechanism design makes the whole group born and(More)
Collaborative filtering algorithm is a traditional algorithm for recommendation system, and user rating (user-based collaborative filtering algorithm) is the primitive method of collaborative filtering algorithm. In this paper, with respect to the sparse data, the strategy of both user-based and item-based collaborative filtering algorithm is proposed and a(More)
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