Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence, by John H. Holland MIT Press (Bradford Books), Cambridge, Mass., 1992, xiv+211 pp. (Paperback…

By Alex M. Andrew. 1993

Subfields: Network Science & Complex Systems

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Citations in the corpus

Local Rule-Based Explanations of Black Box Decision Systems (2018, neutral): “Like neural networks, genetic algorithms [20] are based on the biological metaphor of evolution.”
Automated Machine Learning: State-of-The-Art and Open Challenges (2019, background): “Genetic Algorithms (GA) are inspired by the process of natural selection [49].”
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “evolution in-silico in the field of evolutionary computation (Holland, 1975; Eiben and Smith, 2015).”
SwapAdvisor: Pushing Deep Learning Beyond the GPU Memory Limit via Smart Swapping (2020, methodology): “We then perform mutation on the children which is essential for GA to escape the local minimum and avoid premature convergence [5, 8, 18].”
Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search (2019, neutral): “Other strategies such as two-point and k -point crossovers can also be applied (Holland, 1975; Gwiazda, 2006; Yu & Gen, 2010).”
Modularity and Innovation in Complex Systems (2002, methodology): “Selection processes are 7 Our implementation of recombination with firm selection bears a similarity with the crossover operator employed in the genetic algorithm (GA) literature (see Holland 1992).”
An Overview of Service Placement Problem in Fog and Edge Computing (2020, background): “Proposes to minimize ﬁrst the processing cost and then optimizes the network cost.”
Search Algorithms for Regression Test Case Prioritization (2007, background): “This section describes the family of empirical studies performed, including the design, subjects, measurements, and results.”
Wiley‐Interscience Series in Discrete Mathematics and Optimization (2011, background): “As pointed out before, the genetic algorithm was motivated by ideas from natural genetics [42].”
An improved discrete bat algorithm for symmetric and asymmetric Traveling Salesman Problems (2016, background): “GAs were proposed in 1975 by Holland (Holland (1975)), in an attempt to imitate the genetic process of living organisms, and the law of the evolution of species.”
Wiley‐Interscience Series in Discrete Mathematics and Optimization (2011, background): “As pointed out before, the genetic algorithm was motivated by ideas from natural genetics [42].”