Evolutionary algorithms for designing reversible cellular automata (CROSBI ID 299682)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Mariot, Luca ; Picek, Stjepan ; Jakobovic, Domagoj ; Leporati, Alberto
engleski
Evolutionary algorithms for designing reversible cellular automata
Reversible Cellular Automata (RCA) are a particular kind of shift-invariant transformations characterized by a dynamics composed only of disjoint cycles. They have many applications in the simulation of physical systems, cryptography and reversible computing. In this work, we formulate the search of a specific class of RCA -- namely, those whose local update rules are defined by conserved landscapes -- as an optimization problem to be tackled with Genetic Algorithms (GA) and Genetic Programming (GP). In particular, our experimental investigation revolves around three different research questions, which we address through a single-objective, a multi-objective, and a lexicographic approach. The results obtained from our experiments corroborate the previous findings and shed new light on 1) the difficulty of the associated optimization problem for GA and GP, 2) the relevance of conserved landscape CA in the domain of cryptography and reversible computing, and 3) the relationship between the reversibility property and the Hamming weight.
Shift-invariant transformations ; Cellular automata ; Reversibility ; Genetic programming ; Genetic algorithms
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Podaci o izdanju
22
2021.
429-461
objavljeno
1389-2576
10.1007/s10710-021-09415-7