نتایج جستجو برای: initial population

تعداد نتایج: 1037429  

2006
Simon P Goodwin Pavel Kroupa Alyssa Goodman Andreas Burkert

Almost all young stars are found in multiple systems. This suggests that protostellar cores almost always fragment into multiple objects. The observed properties of multiple systems such as their separation distribution and mass ratios provide strong constraints on star formation theories. We review the observed properties of young and old multiple systems and find that the multiplicity of star...

2008
Fumitaka Nakamura Masayuki Umemura

The collapse and fragmentation of filamentary primordial gas clouds are explored using onedimensional and two-dimensional hydrodynamical simulations coupled with the nonequilibrium processes of hydrogen molecule formation. The cloud evolution is computed from the initial central density nc = 10− 10 cm. The simulations show that depending upon the initial density, there are two occasions for the...

Journal: :اکو هیدرولوژی 0

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Journal: :ادیان و عرفان 0

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Journal: :Science 2009
Matthew J Turk Tom Abel Brian O'Shea

Previous high-resolution cosmological simulations predicted that the first stars to appear in the early universe were very massive and formed in isolation. Here, we discuss a cosmological simulation in which the central 50 M(o) (where M(o) is the mass of the Sun) clump breaks up into two cores having a mass ratio of two to one, with one fragment collapsing to densities of 10(-8) grams per cubic...

Journal: :IEICE Transactions 2005
Morikazu Nakamura Naruhiko Yamashiro Yiyuan Gong Takashi Matsumura Kenji Onaga

This paper proposes an iterative parallel genetic algorithm with biased initial population to solve large-scale combinatorial optimization problems. The proposed scheme employs a master-slave collaboration in which the master node manages searched space of slave nodes and assigns seeds to generate initial population to slaves for their restarting of evolution process. Our approach allows us as ...

2005
Christian Haubelt Jürgen Gamenik Jürgen Teich

Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an initial population composed of infeasible solutions only. Hence, the task of a MOEA is not only to converge towards the Pareto-optimal front but also to guide the search towards the feasible region. This paper propose...

Journal: :Current biology : CB 2018
Mark Lipson Pontus Skoglund Matthew Spriggs Frederique Valentin Stuart Bedford Richard Shing Hallie Buckley Iarawai Phillip Graeme K Ward Swapan Mallick Nadin Rohland Nasreen Broomandkhoshbacht Olivia Cheronet Matthew Ferry Thomas K Harper Megan Michel Jonas Oppenheimer Kendra Sirak Kristin Stewardson Kathryn Auckland Adrian V S Hill Kathryn Maitland Stephen J Oppenheimer Tom Parks Kathryn Robson Thomas N Williams Douglas J Kennett Alexander J Mentzer Ron Pinhasi David Reich

Ancient DNA from Vanuatu and Tonga dating to about 2,900-2,600 years ago (before present, BP) has revealed that the "First Remote Oceanians" associated with the Lapita archaeological culture were directly descended from the population that, beginning around 5000 BP, spread Austronesian languages from Taiwan to the Philippines, western Melanesia, and eventually Remote Oceania. Thus, ancestors of...

2007
Pedro A. Diaz-Gomez Dean F. Hougen

This article presents an empirical study regarding the hypothesis that higher diversity in initial populations for Genetic Algorithms can reduce the number of iterations required to reach an optimum and potentially increase solution quality. We develop the empirical study using some theoretical functions addressed by other researchers such that the input to the Genetic Algorithm is populations ...

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