Cited by 780Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and ApplicationsEvolution and Genetic Dynamics

Co-evolving parasites improve simulated evolution as an optimization procedure

Hillis, W.Daniel·1990·Physica D: Nonlinear Phenomena

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Crossref · 10.1016/0167-2789(90)90076-2

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  • Other simulations of evolving ecosystems confirm the generative potential of artificial life systems.

    “Other simulations of evolving ecosystems confirm the generative potential of artificial life systems [300,314–317].”

    From Fundamental constraints to the logic of living systems (2024) · cites this paper as [314]

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Authors
Hillis, W. D.
Corresponding author
Hillis, W.Daniel
Venue
Physica D: Nonlinear Phenomena
Publisher
Elsevier BV
Published
1990-06
Volume
42
Issue
1-3
Pages
228-234
ISSN
0167-2789 (ISSN-L)
OpenAlex
W2117564498
Cited by
780
References
0
Citations by year
2026: 9 · 2025: 13 · 2024: 10 · 2023: 11 · 2022: 15 · 2021: 19 · 2020: 26 · 2019: 23 · 2018: 22 · 2017: 24 · 2016: 23 · 2015: 21 · 2014: 19 · 2013: 21 · 2012: 26
FWCI
6.77
Type
journal article
Language
en
Open access
closed
Locations
Physica D Nonlinear Phenomena (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
  • Physical Sciences › Computer Science › Artificial Intelligence › Evolutionary Algorithms and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
Keywords
artificial evolution, evolutionary optimization, local optima avoidance, parallel computing, sorting networks, evolutionary algorithms

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