Evolutionary heuristic with Gudermannian neural networks for the nonlinear singular models of third kind
The presented research work articulates a new design of heuristic computing platform with
artificial intelligence algorithm by exploitation of modeling with feed-forward Gudermannian …
artificial intelligence algorithm by exploitation of modeling with feed-forward Gudermannian …
Evolutionary integrated heuristic with Gudermannian neural networks for second kind of Lane–Emden nonlinear singular models
In this work, a new heuristic computing design is presented with an artificial intelligence
approach to exploit the models with feed-forward (FF) Gudermannian neural networks …
approach to exploit the models with feed-forward (FF) Gudermannian neural networks …
Creative AI through evolutionary computation: principles and examples
R Miikkulainen - SN Computer Science, 2021 - Springer
The main power of artificial intelligence is not in modeling what we already know, but in
creating solutions that are new. Such solutions exist in extremely large, high-dimensional …
creating solutions that are new. Such solutions exist in extremely large, high-dimensional …
Towards explainable metaheuristics: PCA for trajectory mining in evolutionary algorithms
The generation of explanations regarding decisions made by population-based meta-
heuristics is often a difficult task due to the nature of the mechanisms employed by these …
heuristics is often a difficult task due to the nature of the mechanisms employed by these …
Population-based hyperparameter tuning with multitask collaboration
Population-based optimization methods are widely used for hyperparameter (HP) tuning for
a given specific task. In this work, we propose the population-based hyperparameter tuning …
a given specific task. In this work, we propose the population-based hyperparameter tuning …
On the class of hybrid adaptive evolutionary algorithms (chavela)
There is no doubt that both determining theoretical properties and characterizing the
observed behavior of an evolutionary algorithm allow us to understand when to use such an …
observed behavior of an evolutionary algorithm allow us to understand when to use such an …
Extensions of royal road functions for use in SELEX in silico
E Myasnikova, A Spirov - 2021 17th International Asian School …, 2021 - ieeexplore.ieee.org
The field of Genetic Algorithms (GA) in modern computer sciences has increasingly become
a source of algorithms and methods for the computational systems biology. In this report we …
a source of algorithms and methods for the computational systems biology. In this report we …
Real-time solving of computationally hard problems using optimal algorithm portfolios
Y Nof, O Strichman - Annals of Mathematics and Artificial Intelligence, 2021 - Springer
Various hard real-time systems have a desired requirement which is impossible to fulfill: to
solve a computationally hard optimization problem within a short and fixed amount of time T …
solve a computationally hard optimization problem within a short and fixed amount of time T …
Quadratic speedup of global search using a biased crossover of two good solutions
T Isomura - arXiv preprint arXiv:2111.07680, 2021 - arxiv.org
The minimisation of cost functions is crucial in various optimisation fields. However,
identifying their global minimum remains challenging owing to the huge computational cost …
identifying their global minimum remains challenging owing to the huge computational cost …
[HTML][HTML] Трансфер идей из эволюционной биологии в кибернетику и обратно–в системную и синтетическую биологию
АВ Спиров - МЕТОД: Московский ежегодник трудов из …, 2021 - cyberleninka.ru
В современной кибернетике и прикладной математике бурно развивается область
исследований и разработок алгоритмов,«вдохновленных» живой природой (Nature …
исследований и разработок алгоритмов,«вдохновленных» живой природой (Nature …