Optimization of specific power of axial flux permanent magnet brushless DC (PMBLDC) motor based on genetic algorithm optimization technique for an electric vehicle application is presented. Double rotor sandwiched stator topology of axial flux permanent magnet brushless DC motor is selected considering its best suitability in electric vehicle applications. Rating of electric motor is determined...

We present a framework for bi-level trajectory optimization in which system’s dynamics are encoded as the solution to constrained problem and smooth gradients of this lower-level passed an upper-level optimizer. This optimization-based representation enables constraint handling, additional variables, non-smooth behavior be abstracted away from optimizer, allows classical unconstrained optimizer...

In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two approaches: (1) moment bounding approach and (2) likelihood-based approach. This paper first proposes a ...

Simulation is a popular method of studying a Supply Chain (SC) system. This paper presents an overview of simulation in SCs. Basic concepts of systems, models and simulation are described and different views of simulation are shown. Simulation-based optimization techniques and the latest developments of simulation approaches in SC are presented. The paper also discusses the future trends of sim...

for any agency dealing with the design of the water distribution network, an economic design will be an objective. in this research, central force optimization (cfo) and differential evolution (de) algorithm were used to optimize ismail abad water distribution network. optimization of the network has been evaluated by developing an optimization model based on cfo and de algorithm in matlab and ...

Metaheuristic algorithms are preferred by the many researchers to reach the reliability based design optimization (RBDO) of truss structures. The cross-sectional area of the elements of a truss is considered as design variables for the size optimization under frequency constraints. The design of dome truss structures are optimized based on reliability by a popular metaheuristic optimization tec...

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Miminizing errors of the physical parameters of interest should be the ultimate goal of any event selection optimization in high energy physics data analysis involving parameter determination. Quick and reliable error estimation is a crucial ingredient for realizing this goal. In this paper we derive a formalism for direct evaluation of measurement errors using the signal probability density fu...

WORK ACCOMPLISHED DURING THIS REPORTING PERIOD: During this reporting period, data obtained from the experiments designed and carried out during the previous reporting period was analyzed. These experiments covered a case study of MiamiDade County, Florida, using the simulation-based optimization framework developed during the previous two reporting periods. Conclusions drawn from this analysis...