The purpose of this research is to investigate thermoeconomic optimization and exergy analysis of transcritical CO2 refrigeration cycle with an ejector. After modeling thermodynamic equations of elements and considering optimization parameters of emerging temperature of gas of cooler (Tgc) , emerging pressure of cooler's gas (Pgc) , and eva...

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Various issues related to modeling of software-hardware complexes, including the following, will be addressed. • Are those currently available modeling approaches insufficient for use in systematic design and optimization of embedded software + hardware systems? • Are there potential synergies between software modeling and hardware modeling approaches? • What are the possibilities of and obstac...

Helios is the first (to our knowledge) modeling language for global optimization using interval analysis. Helios makes it possible to state global optimization problems almost as in scientific papers and textbooks and is guaranteed to find all isolated solutions in constraint-solving problems and all global optima in optimization problems. Helios statements are compiled to Newton, a constraint ...

This study introduces the application of Harmony Search (HS) method for solving the parameter estimation problem in vapor-liquid equilibrium data modeling. The performance of this novel stochastic optimization strategy has been tested using several sets of binary vaporliquid equilibrium data with local composition models and the classical approach of least squares. Our results indicate that HS ...

This paper discusses the use of optimization software to solve an optimal control problem arising in the modeling of technology transition. We set up a series of increasingly complex models with such features as learning-by-doing, adjustment cost, and capital investment. The models are written in continuous time and then discretized by using different methods to transform them into large-scale ...

We survey some recent developments in the area of semidefinite optimization applied to integer programming. After recalling some generic modeling techniques to obtain semidefinite relaxations for NP-hard problems, we look at the theoretical power of semidefinite optimization in the context of the Max-Cut and the Coloring Problem. In the second part, we consider algorithmic questions related to ...

Instruction dependency introduced by conditional branch instructions, which is resolved only at run-time, can have severe performance impact on pipelined machines. A variety of strategies are in wide use to minimize this impact. Additional instruction-traffic generated by these branch-strategies can also have an adverse effect on the system performance. Therefore, in addition to the likely redu...

The goal of our research works is to build a software for fabric modeling. Our research team wants to simulate any fabric deformations due to mechanic stresses. This paper deals with our solutions to speed up calculus convergence of fabric model simulation. These solutions are based on clever propagation algorithm, multi sampling and displacement prediction. Into bibliography, there is several ...

As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing processes have introduced unavoidable and significant uncertainty in circuit performance; hence ensuring manufacturability has been identified as one of the top priorities of today’s IC design problems. In this paper, we revi...