SIMULATED ANNEALING AND PARALLEL PROCESSING: AN IMPLEMENTATION FOR CONSTRAINED GLOBAL DESIGN OPTIMIZATION

2000 ◽  
Vol 32 (5) ◽  
pp. 659-685 ◽  
Author(s):  
MIR M. ATIQULLAH ◽  
S.S. RAO
Keyword(s):  
Simulated Annealing ◽  
Parallel Processing ◽  
Design Optimization ◽  
Global Design Optimization

On Global Feasible Search for Global Design Optimization With Application to Generalized Polynomial Models

1992 ◽  
Author(s):  
Chihsiung Lo ◽  
Panos Y. Papalambros
Keyword(s):  
Global Optimization ◽  
Design Optimization ◽  
Model Transformation ◽  
Special Problem ◽  
Search Algorithms ◽  
Deterministic Global Optimization ◽  
Generalized Polynomial ◽  
Polynomial Models ◽  
Feasible Solutions ◽  
Global Design Optimization

Abstract A powerful idea for deterministic global optimization is the use of global feasible search, namely, algorithms that guarantee finding feasible solutions of nonconvex problems or prove that none exists. In this article, a set of conditions for global feasible search algorithms is established. The utility of these conditions is demonstrated on two algorithms that solve special problem classes globally. Also, a new model transformation is shown to convert a generalized polynomial problem into one of the special classes above. A flywheel design example illustrates the approach. A sequel article provides further computational details and design examples.

Design/optimization with advanced simulated annealing

1999 ◽  
Author(s):  
Eric Besnard ◽  
Nicolas Cordier-Lallouet ◽  
Orhan Kural ◽  
Hsin Chen
Keyword(s):  
Simulated Annealing ◽  
Design Optimization

A Kriging-Simulated Annealing Meta-Algorithm for Optimization of Convective Heat Transfer in a Grooved Channel

2011 ◽  
Author(s):  
Sertac Cadirci ◽  
Alpay Akguc ◽  
Hasan Gunes
Keyword(s):  
Heat Transfer ◽  
Simulated Annealing ◽  
Design Optimization ◽  
Convective Heat Transfer ◽  
Convective Heat ◽  
Transfer Problem ◽  
Geometry Optimization ◽  
Constant Heat Flux ◽  
Design Tool ◽  
Cfd Simulations

As computational fluid dynamics (CFD) simulations still take a lot of time in industry for design optimization analyses, we propose to reduce the number of required CFD simulations considerably using a new meta-algorithm. The algorithm consists of employing kriging in conjunction with simulated annealing (SA) as a design tool. The method enables effective and fast design optimization for complex fluid flow systems. In this paper, it is applied to a convective heat transfer problem in a channel with periodic heat sources with constant heat flux. We show that the geometry optimization of two dimensional thermo-fluids problems in complex geometries is made more effective and faster using kriging-simulated annealing meta-algorithm.

Shape design optimization in non-linear magnetic problems using simulated annealing with complex strategy

1995 ◽  
Vol 31 (6) ◽  
pp. 3569-3571 ◽  
Author(s):  
Xie Dexin ◽  
Bai Baodong ◽  
Yao Yingying ◽  
Wang Fengxiang ◽  
O.A. Mohammed
Keyword(s):  
Simulated Annealing ◽  
Design Optimization ◽  
Shape Design ◽  
Shape Design Optimization ◽  
Non Linear
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