An Evolutionary View on Reversible Shift-Invariant Transformations
Autor: | Mariot, L., Picek, S., Jakobovic, Domagoj, Leporati, Alberto, Hu, Ting, Lourenço, Nuno, Medvet, Eric, Divina, Federico |
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Přispěvatelé: | Hu, T, Lourenço, N, Medvet, E, Divina, F, Mariot, L, Picek, S, Jakobovic, D, Leporati, A |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Cellular automata
Genetic Algorithm Optimization problem Computer science Genetic Algorithms Genetic Programming Brute-force search Shift-invariant transformations Genetic programming 0102 computer and information sciences 02 engineering and technology 01 natural sciences Cellular automaton Reversible cellular automaton Combinatorics Reversibility 010201 computation theory & mathematics 0202 electrical engineering electronic engineering information engineering Reversible computing 020201 artificial intelligence & image processing Invariant (mathematics) Hamming weight Shift-invariant transformation |
Zdroj: | Lecture Notes in Computer Science ISBN: 9783030440930 EuroGP Genetic Programming-23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Proceedings |
ISSN: | 0302-9743 |
DOI: | 10.1007/978-3-030-44094-7_8 |
Popis: | We consider the problem of evolving a particular kind of shift-invariant transformation – namely, Reversible Cellular Automata (RCA) defined by conserved landscape rules – using GA and GP. To this end, we employ three different optimization strategies: a single-objective approach carried out with GA and GP where only the reversibility constraint of marker CA is considered, a multi-objective approach based on GP where both reversibility and the Hamming weight are taken into account, and a lexicographic approach where GP first optimizes only the reversibility property until a conserved landscape rule is obtained, and then maximizes the Hamming weight while retaining reversibility. The results are discussed in the context of three different research questions stemming from exhaustive search experiments on conserved landscape CA, which concern (1) the difficulty of the associated optimization problem for GA and GP, (2) the utility of conserved landscape CA in the domain of cryptography and reversible computing, and (3) the relationship between the reversibility property and the Hamming weight. |
Databáze: | OpenAIRE |
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