Abstract
Many problems can be formulated as optimization problems. Among the many classes of algorithms for solving such problems, one interesting, biologically inspired group is that of meta-heuristic optimization techniques. In this introductionary chapter we provide an overview of such techniques, in particular of Genetic Algorithms, Ant Colony Optimization and Particle Swarm Optimization techniques.
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Nolle, L., Köppen, M., Schaefer, G., Abraham, A. (2011). Intelligent Computational Optimization in Engineering: Techniques and Applications. In: Köppen, M., Schaefer, G., Abraham, A. (eds) Intelligent Computational Optimization in Engineering. Studies in Computational Intelligence, vol 366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21705-0_1
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DOI: https://doi.org/10.1007/978-3-642-21705-0_1
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