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基于梯形模糊数和模糊重心的择偶优化模型
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作者 程战员 郑思莉 宋宁宁 《软件导刊》 2012年第3期28-31,共4页
构造了一种择偶因素的评价指标体系,并对构造的合理性与科学性进行了验证,基于梯形模糊数和模糊重心理论建立了择偶满意度最大化的数学优化模型。对模型进行了实践验证,求出了最佳的婚配对象。
关键词 择偶模型 梯形模糊数 模糊重心 评价指标
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The evolution of male mate choice and female ornamentation: a review of mathematical models 被引量:3
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作者 Courtney L. FITZPATRICK Maria R. SERVEDIO 《Current Zoology》 SCIE CAS CSCD 2018年第3期323-333,共11页
The evolution of male preferences and of female ornaments in species with traditional sex roles (i.e., polygyny) have been highlighted as areas in need of more active research by an accumulation of recent findings. ... The evolution of male preferences and of female ornaments in species with traditional sex roles (i.e., polygyny) have been highlighted as areas in need of more active research by an accumulation of recent findings. The theoretical literature on these topics is relatively small and has centered on the evolution of male choice. Mathematical models have emphasized that, under polygyny, the evolution of male preferences faces much greater competition costs than does the evolution of female preferences. We discuss ways in which costly male choice can nonetheless evolve, via (1) direct selection that favors preferences, primarily through mating with highly fecund females, (2) mechanisms that rely on indirect selection, which weakly counters competitive costs of male preferences, and (3) genetic constraints, primarily in the form of pleiotropy of male and female preferences and traits. We also review a variety of mathematical models that have elucidated how costs to male preferences can be avoided. Finally, we turn our attention to the relatively scant theoretical literature on the effects of male mate choice on the evolution of female traits. We emphasize the finding that the presence of male preferences cannot be assumed to lead to the evolution of female ornaments during polygyny, and point out situations where models have elucidated ways in which female ornaments can nevertheless evolve. 展开更多
关键词 female ornaments male mate preferences mathematical models
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Mate choice decisions by searchers
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作者 Daniel D. WIEGMANN Lisa M. ANGELONI +1 位作者 Steven M. SEUBERT J. GordonWADE 《Current Zoology》 SCIE CAS CSCD 2013年第2期184-199,共16页
For more than two decades rudimentary versions of the fixed sample and sequential search strategies have provided the primary theoretical foundation for the study of mate choice decisions by searchers. The theory that... For more than two decades rudimentary versions of the fixed sample and sequential search strategies have provided the primary theoretical foundation for the study of mate choice decisions by searchers. The theory that surrounds these models has expanded markedly over this time period. In this paper, we review and extend results derived from these models, with a focus on the empirical analysis of searcher behavior. The basic models are impractical for empirical purposes because they rely on the as- sumption that searchers--and, for applied purposes, researchers--assess prospective mates based on their quality, the fitness consequences of mate choice decisions. Here we expound versions of the models that are more empirically useful, reformulated to reflect decisions based on male phenotypic characters. For some organisms, it may be possible to use preference functions to de- rive predictions from the reformulated models and thereby avoid difficulties associated with the measurement of male quality per se. But predictions derived from the two models are difficult to differentiate empirically, regardless of how the models are formu- lated. Here we develop ideas that illustrate how this goal might be accomplished. In addition, we clarify how the variability of male quality should be evaluated and we extend what is known about how this variability influences searcher behavior under each model. More general difficulties associated with the empirical study of mate choice decisions by searchers are also discussed [Current Zoology 59 (2): 184-199, 2013]. 展开更多
关键词 Dispersive order Fixed sample strategy Mate choice Preference functions Sequential search Stochastic dominance
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