Simulated Entropy and Global Optimization

Asaad M. Sultan (maasultangmail.com)
Andrew B. Templeman (abtliverpool.ac.uk)

Abstract: Nonlinear optimization deals with the problem of optimizing a single objective function, such as physical weight or cost, in the presence of equality and inequality constraints. Usually engineering design applications are highly non-linear and engineers are always interested in not finding a feasible design that is locally optimal in the design space, but globally optimal one. This paper introduces for a new subject and new class of algorithms that could open the door for new advancement in tackling this problem towards enhancing engineering design.

Keywords: Global Optimization, Simulated Entropy, Engineering Design

Category 1: Global Optimization

Category 2: Combinatorial Optimization

Citation: University of Liverpool, College of Engineering, Liverpool, UK

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Entry Submitted: 09/04/2005
Entry Accepted: 09/08/2005
Entry Last Modified: 12/18/2007

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