基于全支付拍卖模型的众包激励策略优化分析

考虑协作式众包与众包竞赛在发包方期望收益上存在差异,本文对两种众包模式下的激励策略优化问题进行了研究。基于全支付拍卖理论建立了协作式众包模式中全部接包方贡献总收益和众包竞赛模式中接包方贡献最高质量收益的数学模型。接下来,针对两种模式下接包方收益的区别,分析了各自的最优激励策略。最后,采用比较静态均衡法分析了接包方数量和能力在两种众包模式中对激励策略的不同影响,并采用了数值算例验证了相关结论。结果显示:在不设置奖励限制时,协作式众包模式中存在一个最优的奖励分配个数使得接包方贡献总收益取得最大值;而众包竞赛模式中存在一个最优的奖励分配个数使得接包方贡献最高质量收益取得最大值。因此,若接包方参与数量及能力水平提高时,发包方应增加奖励分配个数,以促进接包方贡献总收益与接包方贡献最高质量收益的最大化。     

带时间窗的车间搬运机器人路径优化建模及算法研究

本文以车间搬运机器人为研究对象,在考虑时间窗的前提下,求解机器人进行物料配送和成品回收场景下的路径优化问题。提出一种强化学习遗传蚁群算法,首先利用扫描法求解初始搬运机器人的数量,并将子路径节点的几何中心设置为虚拟节点,利用嵌入遗传算子的蚁群算法求解连接虚拟节点的最优路径,再利用强化学习算法求解子路径的最优结果;最后将基本成本、运输成本和时间惩罚成本的加权和作为目标解,并最终求出满足约束条件的最优解。通过与基准问题求解结果对比,验证了强化学习遗传蚁群算法的优越性。     

Body‐based activities in secondary geometry: An analysis of learning and viewpoint

Body‐based activities have the potential to support mathematics learning, but we know little about the impact they have in the classroom. This study compares high school geometry students learning through either body‐based or analogous non‐body‐based activities over the course of a two‐week unit on similarity. Pre‐ and post‐tests revealed that while students in both conditions showed gains in content area comprehension over the course of the study, the body‐based condition showed significantly greater gains. Further, there were differences in the language students used to describe the learning activities at the end of the unit that may have contributed to the differences in learning gains. The students in the body‐based condition included more mathematical and nonmathematical details in their recollections. Additionally, students in the body‐based condition were more likely to recall their experiences from a first‐person perspective, while students in the control condition were more likely to use a third‐person perspective.     

Enhancing Formative Assessment Practice and Encouraging Middle School Mathematics Engagement and Persistence

In the transition to middle school, and during the middle school years, students' motivation for mathematics tends to decline from what it was during elementary school. Formative assessment strategies in mathematics can help support motivation by building confidence for challenging tasks. In this study, the authors developed and piloted a professional development program, Learning to Use Formative Assessment in Mathematics with the Assessment Work Sample Method (AWSM) to build middle school math teachers' understanding of the characteristics of high‐quality formative assessment processes and increases their ability to use them in their classrooms. AWSM proved to be feasible to implement in the middle school setting. It improved teachers' practice of formative assessment, especially in their feedback practices, regardless of their pedagogical content knowledge at entry. Results from focus groups suggested that teachers were better able to implement ungraded practice and student self‐ and peer‐assessment after AWSM, and that students were more willing to engage in complex problem solving.     

Instructional immediacy in the Chinese quantitative reasoning classroom

The present investigation examined instructor immediacy behaviors, students' perceptions of those behaviors, and student math anxiety in Chinese classrooms. Consistent with the American college classroom, a simple causal chain was anticipated in which instructor immediacy behaviors positively induced a psychological response to immediacy, which had a negative influence on math anxiety. Study 1 tested this model in the Chinese college classroom and the model failed. It was speculated that perhaps given the high testing admission standards of Chinese colleges (i.e., the GaoKao), that Chinese college students were a biased sample of only students who had learned to manage their anxieties. Thus, in Study 2, the model was retested among junior and senior high Chinese students. Among junior and senior high Chinese students, the model fit well.     

Dividend optimization for jump–diffusion model with solvency constraints

Belhaj (2010) established that a barrier strategy is optimal for the dividend problem under jump–diffusion model. However, if the optimal dividend barrier level is set too low, then the bankruptcy probability may be too high to be acceptable. This paper aims to address this issue by taking the solvency constrain into consideration. Precisely, we consider a dividend payment problem with solvency constraint under a jump–diffusion model. Using stochastic control and PIDE, we derive the optimal dividend strategy of the problem.     

A new two-point scheme for multiple roots of nonlinear equations

In most of the earlier research for multiple zeros, in order to obtain a new iteration function from the existing scheme, the usual practice is to make no change at the first substep. In this paper, we explore the idea that what are the advantages if the flexibility of choice is also given at the first substep. Therefore, we present a new two-point sixth-order scheme for multiple roots (m>1). The main advantages of our scheme over the existing schemes are flexibility at both substeps, simple body structure, smaller residual error, smaller error difference between two consecutive iterations, and smaller asymptotic error constant. The development of the scheme is based on midpoint formula and weight functions of two variables. We compare our methods with the existing methods of the same order with real-life applications as well as standard test problems. From the numerical results, we find that our methods can be considered as better alternates for the existing methods of the same order. Finally, dynamical study of the proposed schemes is presented that confirms the theoretical results.     

基于迁移学习的GH159螺栓热镦后头部缺陷识别

为准确进行GH159螺栓热镦后头部缺陷识别,提出了基于迁移学习的缺陷识别方法,其中,不同场景亮度下的数据集分别设置为迁移学习的源域,目标域.首先,考虑域条件分布的多簇特点,使用K-means算法对同类缺陷数据进行簇划分,确定簇中心,并基于其构造新的分布差异度量;其次,为有效提升迁移学习计算效率,使用簇中心间距离以及各簇...     

Lavrentiev's regularization method for nonlinear ill-posed equations in Banach spaces

In this paper, we deal with nonlinear ill-posed problems involving m-accretive mappings in Banach spaces. We consider a derivative and inverse free method for the implementation of Lavrentiev regularization method. Using general H¨older type source condition we obtain an optimal order error estimate. Also we consider the adaptive parameter choice strategy proposed by Pereverzev and Schock(2005) for choosing the regularization parameter.