- author = "Pierre Parrend and Pierre Collet",
- title = "A Review on Complex System Engineering",
- journal = "Journal of Systems Science and Complexity",
- year = "2020",
- volume = "33",
- number = "6",
- pages = "1755--1784",
- month = dec,
- keywords = "genetic algorithms, genetic programming, genetic improvement, Complex networks, complex software engineering, complex systems, design structure matrix, emergent engineering, evolutionary algorithms, organically grown architectures, EHI01, EH101, ACO, PSO, Parisian GP, GI, PIPE, DSM, LCS, IFS, GenProg, SMT",
- ISSN = "1009-6124",
-
DOI = "
doi:10.1007/s11424-020-8275-0",
- size = "30 pages",
- abstract = "Complexity is commonly summarized as the actions of the whole are more than the sum of the actions of the parts. Understanding how the coherence emerges from these natural and artificial systems provides a radical shift in the process of thought, and brings huge promises for controlling and fostering this emergence. The authors define the term Complex System Engineering to denote this approach, which aims at transferring the radical insights from Complex System Science to the pragmatic world of engineering, especially in the Computing System Engineering domain. A theoretical framework for Complex System Engineering is built by the morphogenetic engineering framework, which identifies a graduation of models, in growing order of generative power. The implementation of Complex System Engineering requires a portfolio of operational solutions: The authors therefore provide a classification of Complex System application approaches to answer this challenge and support the emergence of Complex System Engineers capable of addressing the issues of an ever more connected world.",
-
notes = "p1779 Complex System ... Evolutionary Algorithms ..
are likely to take even more significance as the fields
of Genetics Improvement, meant for program optimisation
and repair, and Program Synthesis .. gain ..
maturity.
ECAM Strasbourg-Europe, 2, Rue de Madrid, Schiltigheim, France",
