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This paper proposes a graph-based evolutionary algorithm called Genetic Network Programming (GNP). Our goal is to develop GNP, which can deal with dynamic environments efficiently and effectively, ...
In contrast, Cartesian Genetic Programming (and other traditional GP approaches) guarantee acyclicity through some encoding which typically means a loss of some part of the landscape. Our results on ...
Genetic programming wasn’t intended to produce mind blowingly inefficient solutions to problems like this. I would go as far as to say that these are nothing more than trivial toys with the word ...
This research paper proposes an approach to solving Sudoku puzzles using genetic algorithm and graph coloring. The proposed algorithm represents Sudoku puzzles as graphs and uses graph coloring to ...
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