Indexed memory as a generic protocol for handling vectors of data in genetic programming

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


Published in:
Proc. Parallel Problem Solving from Nature - PPSN , 1498, 325-334
Presented at:
5th International Conference on Parallel Problem Solving from Nature - PPSN , Amsterdam, Netherlands, 27-30 September, 1998
Year:
1998
Keywords:
Note:
Dept. of Comput. Sci., Fed. Inst. of Technol., Lausanne, Switzerland
Laboratories:




 Record created 2007-01-16, last modified 2018-03-17


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