Adaptive superstructure for multiple-interconnection process synthesis: eliminate unnecessary flowsheet predetermination to reduce complexity

Current observational results for the abundances of the very heavy elements (Z>30) in Population II halo stars are reviewed. New high resolution, low noise spectra of many of these extremely metal-poor stars reveal general consistency in their overall abundance patterns. Below Galactic metallicities of [Fe/H] Ã −2, all of the very heavy elements were manufactured almost exclusively in r-process synthesis events. However, there is considerable star-to-star scatter in the overall level of very heavy element abundances, indicating the influence of local supernovas on element production in the very early, unmixed Galactic halo. The s-process appears to contribute substantially to stellar abundances only in stars more metal-rich than [Fe/H] Ã −2.

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Process synthesis of laser forming by genetic algorithm

International Congress on Applications of Lasers & Electro-Optics ◽

10.2351/1.5059934 ◽

2001 ◽

Cited By ~ 2

Author(s):

Jin Cheng ◽

Y. Lawrence Yao

Keyword(s):

Genetic Algorithm ◽

Process Synthesis ◽

Laser Forming

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Nonlinear and Mixed-Integer Optimization

10.1093/oso/9780195100563.001.0001 ◽

1995 ◽

Cited By ~ 38

Author(s):

Christodoulos A. Floudas

Keyword(s):

Nonlinear Optimization ◽

Systems Engineering ◽

Chemical Engineering ◽

Applied Mathematics ◽

Linear Optimization ◽

Mixed Integer ◽

Process Synthesis ◽

Synthesis Process ◽

Integer Optimization ◽

Mixed Integer Optimization

Filling a void in chemical engineering and optimization literature, this book presents the theory and methods for nonlinear and mixed-integer optimization, and their applications in the important area of process synthesis. Other topics include modeling issues in process synthesis, and optimization-based approaches in the synthesis of heat recovery systems, distillation-based systems, and reactor-based systems. The basics of convex analysis and nonlinear optimization are also covered and the elementary concepts of mixed-integer linear optimization are introduced. All chapters have several illustrations and geometrical interpretations of the material as well as suggested problems. Nonlinear and Mixed-Integer Optimization will prove to be an invaluable source--either as a textbook or a reference--for researchers and graduate students interested in continuous and discrete nonlinear optimization issues in engineering design, process synthesis, process operations, applied mathematics, operations research, industrial management, and systems engineering.

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