An Algorithmic Framework for Multiobjective Optimization

Multiobjective (MO) optimization is an emerging field which is increasingly being encountered in many fields globally. Various metaheuristic techniques such as differential evolution (DE), genetic algorithm (GA), gravitational search algorithm (GSA), and particle swarm optimization (PSO) have been used in conjunction with scalarization techniques such as weighted sum approach and the normal-boundary intersection (NBI) method to solve MO problems. Nevertheless, many challenges still arise especially when dealing with problems with multiple objectives (especially in cases more than two). In addition, problems with extensive computational overhead emerge when dealing with hybrid algorithms. This paper discusses these issues by proposing an alternative framework that utilizes algorithmic concepts related to the problem structure for generating efficient and effective algorithms. This paper proposes a framework to generate new high-performance algorithms with minimal computational overhead for MO optimization

Interdisciplinary Approach to Liquid Lubricant Technology

The proceedings of a conference of liquid lubricant technology are presented. The subjects discussed are: (1) requirements and functions of liquid lubricants, (2) mineral oils, (3) greases, (4) theory of rheology, (5) mechanics and thermodynamics in lubrication, (6) environmental capability of liquid lubricants, and (7) wear corrosion and erosion

Interpretation of scanning tunneling quasiparticle interference and impurity states in cuprates

We apply a recently developed method combining first principles based Wannier functions with solutions to the Bogoliubov-de Gennes equations to the problem of interpreting STM data in cuprate superconductors. We show that the observed images of Zn on the surface of Bi$_2$Sr$_2$CaCu$_2$O$_8$ can only be understood by accounting for the tails of the Cu Wannier functions, which include significant weight on apical O sites in neighboring unit cells. This calculation thus puts earlier crude "filter" theories on a microscopic foundation and solves a long standing puzzle. We then study quasiparticle interference phenomena induced by out-of-plane weak potential scatterers, and show how patterns long observed in cuprates can be understood in terms of the interference of Wannier functions above the surface. Our results show excellent agreement with experiment and enable a better understanding of novel phenomena in the cuprates via STM imaging.Comment: 5 pages, 5 figures, published version (Supplemental Material: 5 pages, 11 figures) for associated video file, see http://itp.uni-frankfurt.de/~kreisel/QPI_BSCCO_BdG_p_W.mp

Origami Solar-Tracking Concentrators

The field of solar cells has conventionally been dominated by crystalline silicon, owing to its low cost. Alternative semiconductor materials are typically prohibitively priced, but recent developments are slowly improving their feasibility. This project explores one such option, by incorporating compound parabolic reflective concentrators into solar cell design. Different 2D designs were constructed, and their light collection simulated, using Matlab. The concentrators were optimized for power output. Future research will convert high-performing 2D designs to 3D ones, to better understand the real-world performance of the concentrators.http://deepblue.lib.umich.edu/bitstream/2027.42/169572/1/Chen_Tainon_FinalReport.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/169572/2/Chen_Tainon_ExpoPresentation.pd

The Evolution of Offshore: From Tax Havens to IFCs

Over the past 70 years, many smaller jurisdictions have evolved intro international financial centres (IFCs). Although different in their historic origins and in the financial products and services they offer, IFCs share a common development path. Understanding that evolution can shed light on what the next decade is likely to bring