Simulated Entropy and Global Optimization

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.


University of Liverpool, College of Engineering, Liverpool, UK



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