Summary and Conclusions
We are in the early stages of building a comprehensive, integrated optimization and modeling system to handle complex industrial problems. We believe a combination of machine-code-based, LGP (for modeling) and ES CDSA (for optimization) together provides the best combination of available tools and algorithms for this task.
By conceiving of design optimization projects as integrated modeling and optimization problems from the outset, we anticipate that engineers and researchers will be able to extend the range of problems that are solvable, given today\rss technology.
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Deschaine, L.M., Francone, F. (2005). Extending the Boundaries of Design Optimization by Integrating Fast Optimization Techniques with Machine Code Based, Linear Genetic Programming. In: Wu, X., Jain, L., Graña, M., Duro, R.J., d’Anjou, A., Wang, P.P. (eds) Information Processing with Evolutionary Algorithms. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/1-84628-117-2_2
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