For multi-robot cooperative formation and global path planning, we propose to adjust the repulsive field function insert a dynamic virtual target point solve local minima unreachability problems of traditional artificial potential (APF) method. The convergence speed optimization accuracy ant colony (ACO) are improved by introducing state transfer functions with heuristic information method opti...

Multidisciplinary design optimization (MDO) is a useful technique on complex product design in recent years. Collaborative optimization (CO) is an effective MDO methods based decomposition which is for deterministic optimization. However, many uncertainties exist in product design such as model error and design variables error. And the propagation of uncertainties in multidisciplinary is more c...

Abstract With the rapid development of information technology in China, problem energy conservation data centers has become increasingly prominent, and green center model is inevitable. The refrigeration equipment which main power consumption affected by environment, room temperature, unit output, other factors. This paper provides a scheme multi-unit collaborative optimization cooling. It main...

This paper concentrates on the computational challenge in multidisciplinary design optimization (MDO) and a comprehensive strategy combining enhanced collaborative optimization (ECO) and kriging approximation models is introduced. In this strategy, the computational and organizational advantages of original collaborative optimization (CO) are inherited by ECO, which can satisfy the strengthened...

background and objective: co-authorship on writing articles is one of the indicators of reliability in scientific articles. due to the lack of information regarding to the rate of participation of the authors of articles in the ” iranian journal of pathology” this research with the aim of the survey of collaborative coefficients of article authors in this journal  from 2006 to 2012 was performe...

Low-rank matrix approximation (LRMA) methods have achieved excellent accuracy among today’s collaborative filtering (CF) methods. In existing LRMA methods, the rank of user/item feature matrices is typically fixed, i.e., the same rank is adopted to describe all users/items. However, our studies show that submatrices with different ranks could coexist in the same user-item rating matrix, so that...

Recommender systems have been accompanied by many applications in both academia and industry. Among different algorithms used to construct a recommender system, collaborative filtering methods have attracted much attention and been used in many commercial applications. Incorporating the time into the recommendation algorithm can greatly enhance its performance. In this paper, we propose a novel...