3,264 research outputs found

    A test problem for visual investigation of high-dimensional multi-objective search

    Get PDF
    An inherent problem in multiobjective optimization is that the visual observation of solution vectors with four or more objectives is infeasible, which brings major difficulties for algorithmic design, examination, and development. This paper presents a test problem, called the Rectangle problem, to aid the visual investigation of high-dimensional multiobjective search. Key features of the Rectangle problem are that the Pareto optimal solutions 1) lie in a rectangle in the two-variable decision space and 2) are similar (in the sense of Euclidean geometry) to their images in the four-dimensional objective space. In this case, it is easy to examine the behavior of objective vectors in terms of both convergence and diversity, by observing their proximity to the optimal rectangle and their distribution in the rectangle, respectively, in the decision space. Fifteen algorithms are investigated. Underperformance of Pareto-based algorithms as well as most state-of-the-art many-objective algorithms indicates that the proposed problem not only is a good tool to help visually understand the behavior of multiobjective search in a high-dimensional objective space but also can be used as a challenging benchmark function to test algorithms' ability in balancing the convergence and diversity of solutions

    Equations involving fractional Laplacian operator: Compactness and application

    Full text link
    In this paper, we consider the following problem involving fractional Laplacian operator: \begin{equation}\label{eq:0.1} (-\Delta)^{\alpha} u= |u|^{2^*_\alpha-2-\varepsilon}u + \lambda u\,\, {\rm in}\,\, \Omega,\quad u=0 \,\, {\rm on}\, \, \partial\Omega, \end{equation} where Ω\Omega is a smooth bounded domain in RN\mathbb{R}^N, ε[0,2α2)\varepsilon\in [0, 2^*_\alpha-2), 0<α<1,2α=2NN2α0<\alpha<1,\, 2^*_\alpha = \frac {2N}{N-2\alpha}. We show that for any sequence of solutions unu_n of \eqref{eq:0.1} corresponding to εn[0,2α2)\varepsilon_n\in [0, 2^*_\alpha-2), satisfying unHC\|u_n\|_{H}\le C in the Sobolev space HH defined in \eqref{eq:1.1a}, unu_n converges strongly in HH provided that N>6αN>6\alpha and λ>0\lambda>0. An application of this compactness result is that problem \eqref{eq:0.1} possesses infinitely many solutions under the same assumptions.Comment: 34 page

    International Students\u27 Social Factors And Acculturative Stress

    Get PDF
    Each year, many international students come to the United States from all over the world to further their education, and they have contributed a significant part to the economy. Adapting to a new culture can be challenging and that puts international students at a greater risk for experiencing mental health issues than students in general. Thus, the need for understanding cross-cultural adaptation for international students is becoming increasingly important. Social factors are one of the coping resources that have been suggested to benefit international student cross-cultural adaptation. Studying aboard causes disruption in international students’ social relationships that is compounded by a change in culture, where language, social norms, values may make it more difficult to form strong social bonds in a new environment. One social construct that may help explain why international students can deal with the increased stress and risk of changing cultural environments is social connectedness (Lee & Robins, 1995). Therefore, in Chapter 1, I conducted a narrative review of 15 studies of international students exploring associations of social connectedness with psychological adaptation and sociocultural adaptation drawing from a cross-culture adaptation model (Searle & Ward, 1990). The review highlighted social connection effects on various predictors in psychological and sociocultural domains to understand social connectedness effects on the international student cross-cultural adaptation process. In Chapter 2, I examined the effects of social factors (e.g., social support and social connectedness) on international students\u27 acculturative stress from a bilinear perspective that was proposed by Berry et al.’s (1987) bi-dimensional model. A sample of 206 international students in the U.S. was collected from various resources. Hierarchical linear regression revealed that various types of social support and social connectedness are important predictors for acculturative stress as predicted. Specifically, social connectedness is the strongest predictor of acculturative stress. Also, I conducted a moderation analysis using the PROCESS Macro developed for SPSS to test the moderation effects proposed in Berry et al.’s (1987) theoretical work. I predicted that social connectedness would moderate the relationship between other social factors and acculturative stress. The results of moderation analysis were partially supported. Implications and recommendations are discussed
    corecore