Titlebook: Jaarboek Fysiotherapie Kinesitherapie 2012; P. Calders,J. J. X. R. Geraets,C. P. Wilgen Book 2012Latest edition Bohn Stafleu van Loghum 20

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书目名称Jaarboek Fysiotherapie Kinesitherapie 2012影响因子(影响力)




书目名称Jaarboek Fysiotherapie Kinesitherapie 2012影响因子(影响力)学科排名




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书目名称Jaarboek Fysiotherapie Kinesitherapie 2012网络公开度学科排名




书目名称Jaarboek Fysiotherapie Kinesitherapie 2012被引频次




书目名称Jaarboek Fysiotherapie Kinesitherapie 2012被引频次学科排名




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书目名称Jaarboek Fysiotherapie Kinesitherapie 2012年度引用学科排名




书目名称Jaarboek Fysiotherapie Kinesitherapie 2012读者反馈




书目名称Jaarboek Fysiotherapie Kinesitherapie 2012读者反馈学科排名

nutrients

on of EMT algorithms in solving various optimization problemA remarkable facet of the human brain is its ability to manage multiple tasks with apparent simultaneity. Knowledge learned from one task can then be used to enhance problem-solving in other related tasks. In machine learning, the idea of l

Heterodoxy

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gonioscopy

Stanimira Kalaykovaobjective problems where conventional optimization tools fail to work well. Despite the tremendous amount of work done in the development of these algorithms in the past decade, many researchers assume that the optimization problems are deterministic and uncertainties are rarely examined. ...The pri

圣歌

环形

Pieter Dijkstra,Lambert de Bont,Jan Roodenburgthat when some data are random, it is no longer possible to require that all constraints be satisfied for all realizations of the random variables (170). In addition, the actual cost of a particular solution to the VRPSD cannot be known with certainty before the actual implementation of the solution

TRUST

Giannoula Tsakitzidis,Wim Dankaerts,Roy Remmen,Paul Van Royenth environmental changes. In such cases, it would be desirable to find solutions that perform reasonably well within some range of change. In fact, many real-world applications involve the simultaneous optimization of several competing objectives and are susceptible to decision or environmental para

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Jan Poolth environmental changes. In such cases, it would be desirable to find solutions that perform reasonably well within some range of change. In fact, many real-world applications involve the simultaneous optimization of several competing objectives and are susceptible to decision or environmental para

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