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Titlebook: Recent Advances in the Theory and Application of Fitness Landscapes; Hendrik Richter,Andries Engelbrecht Book 2014 Springer-Verlag Berlin

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发表于 2025-3-28 14:56:55 | 显示全部楼层
Fitness Landscapes: From Evolutionary Biology to Evolutionary Computationased on a brief discussion of the origin of landscape paradigms, major motivations to use fitness landscapes are presented. It is further considered how topological features of the landscape give raise to evolutionary dynamics. Also, examples of computational and empirical landscapes are introduced.
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Fundamental Principles of Control Landscapes with Applications to Quantum Mechanics, Chemistry and E landscape is the desired output as a function of a set of input variables, often of very high dimension. The relationship between the features of a landscape and the input variables is usually unknown a . and often thought to be highly complex due to the anticipated intricate interactions involved.
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Biomolecular Information Gained through , Evolution on a Fitness Landscape in Sequence Spaceich is a simplified Darwinian evolution under a well-controlled environment, we can clarify the concept of the information gaining process. This evolution process can be modeled as a hill-climbing or adaptive walk on a fitness landscape in sequence space. Through the hill-climbing process, the evolv
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Geometry and Coarse-Grained Representations of Landscapesnd funnels. We focus on discrete, combinatorial landscapes and emphasize the complications arising from local degeneracies. Local search in such landscapes is well described by adaptive walks, which we use to define reachability of a target from an initial configuration. Reachability introduces a to
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Estimating the Degree of Neutrality and Ruggedness of Fitness Landscapeshas been reported that the evolutionary dynamics on a fitness landscape with neutrality is clearly different from the canonical explanations, ruggedness alone might be inadequate describing it. Another measure, i.e., neutrality is required. This study discusses the use of ., which originates from po
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Local Optima Networks: A New Model of Combinatorial Fitness Landscapesformation given by the whole search space into a smaller mathematical object that is a graph having as vertices the local optima and as edges the possible weighted transitions between them. Two definitions of edges have been proposed: basin-transition and escape-edges, which capture relevant topolog
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Fitness Landscapes That Depend on Timeent. Dynamics may be connected to optimization problems with changing objective functions, or generally that conditions apart from the genetic makeup of the population, but massively influencing the evolutionary outcome, are not constant. Mathematically, such dynamic fitness landscapes can be descri
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