A Coupled Algorithmic-Heuristic Approach for Design Optimization
S. Azarm and M. Pecht, Member IEEE
An optimization strategy is presented that provides a framework in which
optimization algorithms and heuristic procedures can be coupled to solve
nonlinearly constrained design optimization problems. These problems
cannot be efficiently solved by either approach independently. The
approach is based on an optimization algorithm dealing with local monotonicity
and sequential quadratic programming techniques with heuristic procedures
which are statistically derived form observations obtained by applying
the optimization algorithm to different classes of test problems
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