In order to overcome the defects of Shuffled Frog Leaping Algorithm (SFLA) such as nonuniform initial population, slow searching speed in the late evolution and easily trapping into local extremum, a new Shuffled Frog Leaping Algorithm based on mutation operator and population diversity is proposed in this paper. The algorithm has overcome the disadvantage mentioned above. The algorithm efficie...

We consider the problem of inference in a linear regression model in which the relative ordering of the input features and output labels is not known. Such datasets naturally arise from experiments in which the samples are shuffled or permuted during the protocol. In this work, we propose a framework that treats the unknown permutation as a latent variable. We maximize the likelihood of observa...

This paper presents a Shuffled Frog Leaping Algorithm to seek the optimal number and location of FACTS devices in a power system. Unified Power Flow Controller (UPFC) has great flexibility that can control the active and reactive power flow and bus voltages, simultaneously. Decoupled model of the UPFC is applied to maximize the system loadability subject to the transmission line capacity limits...

In order to overcome the drawbacks of standard shuffled frog leaping algorithm that converges slowly at the last stage and easily falls into local minima, this paper proposed two-phases learning shuffled frog leaping algorithm. The modified algorithm added the elite Gaussian learning strategy in the global information exchange phase, updated frog leaping rule and added the learning capability t...

the aim of this work is to understand the relation between time and place that an earthquake takes place. in order to answer this question, the modified level crossing (mlc) technique has been implemented. by studying two earthquakes, one in iran and one in california we came to the conclusion that there is a relation between time and place of an earthquake occurrence. as a matter of fact, this...

The parameter identification problem can be modeled as a non-linear optimization problem. In this problem, some unknown parameters of a mathematical model presented by an ordinary differential equation using some experimental data must be estimated. This paper presents a shuffled frog leaping algorithm for solving parameter identification problem. An opposition-based initialization strategy is ...

Language models that use interleaving, or shuffle, operators have applications in various areas of computer science, including system verification, plan recognition, and natural language processing. We study the complexity of the membership problem for such models, i.e., how difficult it is to determine if a string belongs to a language or not. In particular, we investigate how interleaving can...

Infrastructure assessment and renewal have been in the center of attention worldwide. While the infrastructure is the foundation for economic growth, a large percentage of existing facilities are rapidly deteriorating due to age, outdated technology, and insufficient capacity for population growth. Prioritizing infrastructure facilities for repair purposes, the allocation of the limited funds, ...

BACKGROUND Chimeric virus like particles (CVLPs) constructed by fusing human papillomavirus type 16 (HPV16) E7 sequences into the C-terminus of the viral L1 gene constitute the first generation of preventive and therapeutic HPV vaccines. Even though vaccination with DNA is highly efficient in the induction of a cytotoxic T-cell (CTL) response utilization of a DNA vaccine in the HPV context, it ...