Retracted: Protection and Inheritance of Traditional Culture in Urbanization Construction Based on Genetic Algorithm under the Concept of Environmental Protection [PDF]
Journal of Environmental and Public Health, 2023 Journal Of Environmental And Public Health
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[Retracted] Protection and Inheritance of Traditional Culture in Urbanization Construction Based on Genetic Algorithm under the Concept of Environmental Protection [PDF]
Journal of Environmental and Public Health, 2022 Chinese traditional culture is a typical “moral culture,” and traditional morality is the core and essence of culture. However, in recent years, the phenomenon of following the trend of rural construction has been particularly serious, and many villages have lost their original features. To solve the above problems, the genetic algorithm can be used to
Lin Guo
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Lossless fitness inheritance in genetic algorithms for decision trees [PDF]
, 2006 When genetic algorithms are used to evolve decision trees, key tree quality parameters can be recursively computed and re-used across generations of partially similar decision trees. Simply storing instance indices at leaves is enough for fitness to be piecewise computed in a lossless fashion.
Dimitris Kalles, Athanassios Papagelis
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Development of Adaptive Range Genetic Algorithms Considering Inheritance of Searching Range.
TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C, 2002 For several years, adaptive range genetic algorithms have been developed and it turned out to be very efficient in treatment of both discrete variables and continuous variables. That means it is useful tools for mixed variable problem, which was thought most daunting problem in design engineering.
Masaaki Arakawa, Hiroshi ISHIKAWA
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Fitness inheritance in genetic algorithms [PDF]
Proceedings of the 1995 ACM symposium on Applied computing - SAC '95, 1995 Robert E. Smith +2 more
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A study on fitness inheritance for enhanced efficiency in real-coded genetic algorithms [PDF]
2012 IEEE Congress on Evolutionary Computation, 2012 This paper presents a study on the use of fitness inheritance as a surrogate model to assist a genetic algorithm (GA) in solving optimization problems with a limited computational budget.We compared the impact to the evolutionary search introducing three surrogate models: (i) averaged inheritance, (ii) weighted inheritance and (iii) parental ...
Leonardo Goliatt +2 more
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Performance of Simple Genetic Algorithm Inserting Forced Inheritance Mechanism and Parameters Relaxation [PDF]
, 2012 Genetic Algorithms are a search paradigm that applies principles of evolutionary biology (crossover, mutation, natural selection) in order to deal with intractable search spaces. The power and success of GA are mostly achieved by the diversity with the individuals of a population which evolve, in parallel, following the principle of the survival of the
Esther Lugo-Gonzlez +5 more
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A New Supervised Learning Algorithm Based on Genetic Inheritance for Spiking Neural Networks
Journal of Physics: Conference Series, 2018 Jie Yang, Ning Wang, Tingting Pan
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Configuration of Stable Evolutionary Strategy of Homo Sapiens and Evolutionary Risks of Technological Civilization (the Conceptual Model Essay) [PDF]
, 2014 Stable evolutionary strategy of Homo sapiens (SESH) is built in accordance with the modular and hierarchical principle and consists of the same type of self-replicating elements, i.e. is a system of systems.
Cheshko, Valentin T. +2 more
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Ordering dominant markers in F2 populations [PDF]
, 2008 Ordering dominant markers in F2 populations is considered a difficult problem. The difficulties arise from the fact that recombinations cannot be observed directly from the data.
Jansen, J.
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