This paper proposes a new learning method based on Hopfield Neural (HN) network to optimize the Point-Feature Labeling Placement (PFLP) problem. The learning method attains a balance between penalty function and original objective function based on the principle of a physical weight balance, and can converge to a solution with better stability. This improved algorithm also allows HN network to ...

in this paper, he's highly prolic variational iteration method is applied ef-fectively for showing the existence, uniqueness and solving a class of singularsecond order two point boundary value problems. the process of nding solu-tion involves generation of a sequence of appropriate and approximate iterativesolution function equally likely to converge to the exact solution of the givenpr...

In this paper, a new robust metaheuristic optimization algorithm called improved time evolutionary optimization (ITEO) is applied to design reinforced concrete one-way ribbed slabs. Geometric and strength characteristics of concrete slabs are considered as design variables. The optimal design is such that in addition to achieving the minimum cost, all design constraints are satisfied under Amer...

Article history: Received 5 September 2012 Received in revised form 2 May 2014 Accepted 11 July 2014 Available online 17 July 2014 Determining the number of clusters is an important part of cluster validity that has been widely studied in cluster analysis. Sum-of-squares based indices show promising properties in terms of determining the number of clusters. However, knee point detection is ofte...

In this paper, He's highly prolic variational iteration method is applied ef-fectively for showing the existence, uniqueness and solving a class of singularsecond order two point boundary value problems. The process of nding solu-tion involves generation of a sequence of appropriate and approximate iterativesolution function equally likely to converge to the exact solution of the givenproblem w...