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相关论文: Self-Adaptation in Evolving Systems

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The effect of genetic operators other than selection, such as mutation and recombination, on the genotype-phenotype map is considered. In particular, when the genotypic fitness landscape exhibits a ``symmetry'', i.e. many genotypes…

适应与自组织系统 · 物理学 2007-05-23 C. R. Stephens

The influence of time-dependent fitnesses on the infinite population dynamics of simple genetic algorithms (without crossover) is analyzed. Based on general arguments, a schematic phase diagram is constructed that allows one to characterize…

生物物理 · 物理学 2007-05-23 Christopher Ronnewinkel , Claus O. Wilke , Thomas Martinetz

Most of the DNA that composes a complex organism is non-coding and defined as junk. Even the coding part is composed of genes that affect the phenotype differently. Therefore, a random mutation has an effect on the specimen fitness that…

种群与进化 · 定量生物学 2021-07-19 Mattia Miotto , Lorenzo Monacelli

We study the evolution of artificial learning systems by means of selection. Genetic programming is used to generate a sequence of populations of algorithms which can be used by neural networks for supervised learning of a rule that…

生物物理 · 物理学 2009-11-07 Juan Pablo Neirotti , Nestor Caticha

We present a simple game which mimics the complex dynamics found in most natural and social systems. Intelligent players modify their strategies periodically, depending on their performances. We propose that the agents use hybridized…

统计力学 · 物理学 2009-11-07 Marko Sysi-Aho , Anirban Chakraborti , Kimmo Kaski

Phenotypic evolution implies sequential fixations of new genomic sequences. The speed at which these mutations fixate depends, in part, on the relative fitness (selection coefficient) of the mutant vs. the ancestor. Using a simple…

种群与进化 · 定量生物学 2014-02-04 Sorin Tanase-Nicola , Ilya Nemenman

Evolutionary dynamics is often viewed as a subtle process of change accumulation that causes a divergence among organisms and their genomes. However, this interpretation is an inheritance of a gradualistic view that has been challenged at…

种群与进化 · 定量生物学 2018-07-27 Jacobo Aguirre , Pablo Catalán , José A. Cuesta , Susanna Manrubia

This paper concerns applications of genetic algorithms and genetic programming to tasks for which it is difficult to find a representation that does not map to a highly complex and discontinuous fitness landscape. In such cases the standard…

神经与进化计算 · 计算机科学 2016-05-06 Michal Gregor , Juraj Spalek

Large sets of genotypes give rise to the same phenotype because phenotypic expression is highly redundant. Accordingly, a population can accept mutations without altering its phenotype, as long as thegenotype mutates into another one on the…

种群与进化 · 定量生物学 2015-02-18 Susanna Manrubia , José A. Cuesta

Background: Acceleration of adaptation dynamics by stress-induced hypermutation has been found experimentally. Evolved evolvability is a prominent explanation. We investigate a more generally applicable explanation by a physical constraint.…

生物物理 · 物理学 2011-04-12 Lennart Hilbert

Although many phenotypic traits are determined by a large number of genetic variants, how a polygenic trait adapts in response to the changes in the environment is still poorly understood. Here we study the adaptation dynamics of a…

种群与进化 · 定量生物学 2018-10-19 Kavita Jain , Archana Devi

Understanding why we age is a long-lived open problem in evolutionary biology. Aging is prejudicial to the individual and evolutionary forces should prevent it, but many species show signs of senescence as individuals age. Here, I will…

种群与进化 · 定量生物学 2012-01-24 André C. R. Martins

Biological organisms exhibit diverse strategies for adapting to varying environments. For example, a population of organisms may express the same phenotype in all environments (`unvarying strategy'), or follow environmental cues and express…

种群与进化 · 定量生物学 2022-06-08 BingKan Xue , Pablo Sartori , Stanislas Leibler

Within the framework of population genetics we consider the evolution of an asexual haploid population under the effect of a rapidly varying natural selection (microevolution). We focus on the case in which the environment exerting…

种群与进化 · 定量生物学 2015-06-22 Stefano Bo , Andrea Mazzolini , Antonio Celani

We consider evolution of a large population, where fitness of each organism is defined by many phenotypical traits. These traits result from expression of many genes. We propose a new model of gene regulation, where gene expression is…

种群与进化 · 定量生物学 2016-09-29 John Reinitz , Sergey Vakulenko , Dmitri Grigoriev , Andreas Weber

Developmental trajectories are known to be canalized, or robust to both environmental and genetic perturbations. However, even when these trajectories are decanalized by an environmental perturbation outside of the range of conditions to…

生物物理 · 物理学 2025-09-25 Yuuki Matsushita , Archishman Raju

The capacity to adapt can greatly influence the success of systems that need to compensate for damaged parts, learn how to achieve robust performance in new environments, or exploit novel opportunities that originate from new technological…

适应与自组织系统 · 物理学 2011-12-15 James Whitacre , Axel Bender

Genetic algorithms have been used in recent decades to solve a broad variety of search problems. These algorithms simulate natural selection to explore a parameter space in search of solutions for a broad variety of problems. In this paper,…

神经与进化计算 · 计算机科学 2022-03-25 Yoshio Martinez , Katya Rodriguez , Carlos Gershenson

This paper investigates the influence of genotype size on evolutionary algorithms' performance. We consider genotype compression (where genotype is smaller than phenotype) and expansion (genotype is larger than phenotype) and define…

神经与进化计算 · 计算机科学 2021-05-26 Lucija Planinic , Marko Djurasevic , Luca Mariot , Domagoj Jakobovic , Stjepan Picek , Carlos Coello Coello

Exploiting the mathematical curiosity of intransitive dice, we present a simple theoretical model for co-evolution that captures scales ranging from the genome of the individual to the system-wide emergence of species diversity. We study a…

种群与进化 · 定量生物学 2022-12-02 Julius B. Kirkegaard , Kim Sneppen
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