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Evolution on ecological time-scales
2007
Functional Ecology
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These findings counter the long-standing assumption that ecological and evolutionary processes occur on different time-scales, and thus that the study of ecological processes can safely assume evolutionary ...
The goals of this special feature are twofold: to consider the factors that influence evolution on ecological time-scales -phenotypic plasticity, maternal effects, sexual selection, and gene flow -and ...
Ghalambor, and P. Abrams contributed directly to this review, and G. Fussmann, L. Rieseberg, E. Svensson, and S. Forde also made helpful comments. ...
doi:10.1111/j.1365-2435.2007.01289.x
fatcat:kfwcbsa57zhnphj3yjcgwapkte
Large-scale, Small-scale Systems
[chapter]
2006
Cognitive Systems - Information Processing Meets Brain Science
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The objective of the project is to examine recent progress in two major areas of research -computer science and neuroscience, and their related fields -and to understand whether progress in understanding ...
Further details are available at the Foresight web site ...
Acknowledgements The authors thank Flaviu Adrian Marginean for his help and background work in the construction of this document. ...
doi:10.1016/b978-012088566-4/50005-2
fatcat:mr7mjjmsingjxoiia3yrblsvbq
Isotropy, entropy, and energy scaling
[article]
2012
arXiv
pre-print
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First, in the Receipt's reference frame, Deg(S) = 4/3 Deg(R), where Supply S is an isotropic radiative energy source, Receipt R receives S's energy, and Deg is a system's degrees of freedom based on its ...
Second, rho(R) = Deg(R) times rho(r), where rho(R) represents the collective rate of R and rho(r) represents the rate of an individual in R: as Deg(R) increases due to the first principle, the multiplier ...
Second, the tendency toward signal evolution through ritualization restricts the range of potential evolutionary pathways. On a different scale, the same observation applies to a human society. ...
arXiv:0805.1715v10
fatcat:g37trsz4xzempnitgtncucbk5a
Large-Scale Evolutionary Strategy Based on Gradient Approximation
2021
Complexity
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The experimental results were tested using CEC 2010 and CEC2013 LSGO benchmark test suite, and the experimental results verified the effectiveness of the algorithm on a number of different tasks. ...
For large-scale optimization, CMA-ES has the disadvantages of high complexity and premature stagnation. An improved CMA-ES algorithm called GI-ES was proposed in this paper. ...
Related Work In recent years, large-scale optimization has become a hot research topic, and many large-scale benchmark functions have been put forward to examine the merits of large-scale optimization ...
doi:10.1155/2021/8878780
fatcat:tcy4z7bjybfipnmtrszvp3fbi4
Scale invariant robot behavior with fractals
[article]
2021
arXiv
pre-print
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Here we demonstrate that this is indeed the case for some, but not all, modular soft robots: there are robot designs that exhibit a desired behavior at a small size scale, and if copies of that robot are ...
Robots deployed at orders of magnitude different size scales, and that retain the same desired behavior at any of those scales, would greatly expand the environments in which the robots could operate. ...
ACKNOWLEDGEMENTS This work was supported by DARPA contract HR0011-18-2-0022, NSF EFRI award 1830870, and NSF NAIRI award 2020247. ...
arXiv:2103.04876v2
fatcat:uuhbvcxwlfgedo7au5r67gs52m
Understanding the ecology and evolution of host-parasite interactions across scales
2015
Evolutionary Applications
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Predicting the emergence, spread and evolution of parasites within and among host populations requires insight to both the spatial and temporal scales of adaptation, including an understanding of within-host ...
We then explore the ways to measure temporal variation and dynamics in host-parasite interactions and discuss the need to examine change over both ecological and evolutionary timescales. ...
The authors acknowledge funding from the Academy of Finland (Grant Nos. 284601 and 136393) and European Research Council (PATHEVOL 400820) to ALL, and an independent research fellowship from the UK Natural ...
doi:10.1111/eva.12294
pmid:27087838
pmcid:PMC4780374
fatcat:bwjotb3suzbf5nn6mri32gnqdm
Large-Scale Co-Phylogenetic Analysis on the Grid
2009
International Journal of Grid and High Performance Computing
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Since the computational bulk of the problem is embarrassingly parallel, it fits well to a computational Grid and reduces the response time of large scale analyses. ...
We have developed enhanced versions of these tools that efficiently exploit a Grid environment and therefore facilitate large-scale data analyses. ...
Experiment with Real-world Data In the first experiment we are interested in the raw performance (response time) of AxParafit. pl, i.e., how long does it take to fully process a set of tasks on the Grid ...
doi:10.4018/jghpc.2009010104
fatcat:wveqso2bpvb3lmubgkd4aakymu
Cross-scale dynamics and the evolutionary emergence of infectious diseases
2021
Virus Evolution
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Pathogens experience selection on traits at multiple scales, including replication rates within host individuals and transmissibility between hosts. ...
Our results provide a framework to advance the integration of laboratory, clinical and field data in the context of evolutionary theory, laying the foundation for a new generation of evidence-based risk ...
The authors thank two anonymous reviewers and Joshua Weitz for providing valuable feedback that greatly improved the quality of this paper. This work was supported by U.S. ...
doi:10.1093/ve/veaa105
pmid:35186322
pmcid:PMC8087961
fatcat:ebqw6brmsney5jwscbsgtvwl7y
Initialization methods for large scale global optimization
2013
2013 IEEE Congress on Evolutionary Computation
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This paper categorizes the most well-known initialization methods and studies the effect of them on large scale global optimization problems. ...
Furthermore, our study shows, regardless of the size of the initial population, choosing a proper initialization method is vital for solving large scale problems. ...
These methods are generally iterative and demand a large amount of memory and long time to compute on very high dimensions. ...
doi:10.1109/cec.2013.6557902
dblp:conf/cec/KazimipourLQ13
fatcat:sg2ohtalufco3aoh3kfrez3co4
GP ensembles for large-scale data classification
2006
IEEE Transactions on Evolutionary Computation
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Experiments on several data sets show that, by using a training set of reduced size, better classification accuracy can be obtained, but at a much lower computational cost. ...
The method is able to deal with large data sets that do not fit in main memory since each classifier is trained on a subset of the overall training data. ...
The experiments pointed out that BagCGP C and BoostCGP C outperform CGP C both in accuracy and execution time. ...
doi:10.1109/tevc.2005.863627
fatcat:cby7hpyygbcwvoo4mjh6kmcrae
Cholesterol and nicotinic acetylcholine receptor: An intimate nanometer-scale spatial relationship spanning the billion year time-scale
2016
Biomedical Spectroscopy and Imaging
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The 1926 Nobel prize in Chemistry was awarded to Heinrich Wieland for his work on the structure of cholesterol and bile acids -although the tetracyclic ring structure as we know it today was proposed by ...
Among the more than 200 lipid species in a cell membrane, cholesterol stands out as a singular lipid in terms of structure, physicochemical properties and unique effects on other lipids and membrane proteins ...
N°112-201101-01023 from the National Scientific and Technical Research Council of Argentina (CONICET). ...
doi:10.3233/bsi-160158
fatcat:alb7a5mwnngltlomyn7yz62eii
SCALE AND HIERARCHY IN MACROEVOLUTION
2007
Palaeontology
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These larger-scale phenomena range from evolutionary stasis at the species level and the mosaic assembly of complex morphologies in ancestral forms to the non-random distribution in time and space of the ...
Instead, I will briefly review how the expansion of temporal and spatial scales and the use of a hierarchical framework permits a richer understanding of evolutionary processes. ...
However, most clades probably experience more complex pressures, and those may change over geological time-scales. ...
doi:10.1111/j.1475-4983.2006.00615.x
fatcat:nkuv2goujbhnfdpgpwvarz7ena
Path relinking for large-scale global optimization
2010
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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In particular, we target unconstrained large scale problems and compare two variants of this methodology: the static and the evolutionary path relinking. ...
In this paper we consider the problem of finding a global optimum of a multimodal function applying path relinking. ...
Glover and Resende for their descriptions and suggestions on the Path Relinking and Evolutionary Path Relinking methodologies respectively. ...
doi:10.1007/s00500-010-0650-7
fatcat:tij26bshwnh6hbtbttcf4rtwru
Scaling up data mining algorithms: review and taxonomy
2012
Progress in Artificial Intelligence
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We focus on general ideas, rather than specific implementations, that can be used to provide a general view of the current approaches for scaling up data mining methods. ...
In many cases, the demands of the algorithm in terms of the running time are very large, and mining methods cannot be applied when the problem grows. ...
Acknowledgments This work was supported in part by the Grant TIN2008-03151 of the Spanish "Comisión Interministerial de Ciencia y Tecnología" and the Grant P09-TIC-4623 of the Regional Government of Andalucía ...
doi:10.1007/s13748-011-0004-4
fatcat:o53sri33rbf5dmjazaexfwvxeq
Differential evolution with dither and annealed scale factor
2014
2014 IEEE Symposium on Differential Evolution (SDE)
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Differential Evolution (DE) is a highly competitive and powerful real parameter optimizer in the diverse community of evolutionary algorithms. ...
This work proposes a simple and effective technique that alters in stages, first through random perturbations and then through the application of an annealing schedule. ...
method with the adaptive one. ...
doi:10.1109/sde.2014.7031528
dblp:conf/sdiev/DawarL14
fatcat:o3kkqdchk5hl7i6ryldisfch6e
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