Abstract
Indexed memory is used as a generic protocol for handling vectors of data in genetic programming. Using this simple method, a single program can generate many outputs. It eliminates the complexity of maintaining different trees for each desired parameter and avoids problem-specific function calls for handling the vectors. This allows a single set of programming language primitives applicable to wider range of problems. For a test case, the technique is applied to evolution of behavioural control programs for a simulated 2d vehicle in a corridor following problem.
This work was supported in part by Swiss National Foundation.
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Lim, I.S., Thalmann, D. (1998). Indexed memory as a generic protocol for handling vectors of data in genetic programming. In: Eiben, A.E., Bäck, T., Schoenauer, M., Schwefel, HP. (eds) Parallel Problem Solving from Nature — PPSN V. PPSN 1998. Lecture Notes in Computer Science, vol 1498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056875
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DOI: https://doi.org/10.1007/BFb0056875
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