Titlebook: Queenship and Counsel in Early Modern Europe; Helen Matheson-Pollock,Joanne Paul,Catherine Fletc Book 2018 The Editor(s) (if applicable) a

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John Waltersal optima, by changing the landscape of the original fitness function. In this contribution, an analysis of different multiobjectivisation approaches has been performed. It has been carried out with a set of scalable mono-objective benchmark problems. The experimental evaluation has demonstrated the

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al optima, by changing the landscape of the original fitness function. In this contribution, an analysis of different multiobjectivisation approaches has been performed. It has been carried out with a set of scalable mono-objective benchmark problems. The experimental evaluation has demonstrated the

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erges to a diverse cover of the Pareto front and efficient set. The demonstration of the algorithms is implemented in Java Script and can therefore run from a website in any conventional browser. Besides using it to reproduce the findings of the paper, it is also suitable as an educational tool in o

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Helen Matheson-Pollock,Joanne Paul,Catherine Fletcheruth Africa using a 19-year baseline record. Two case studies were considered. Case study 1 involved the use of correlation analysis in selecting input variables during model development while using DE algorithm for optimization purposes. However in the second case study, GP was incorporated as a scr

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Katarzyna Kosiormmunity detection. We will not look at communities of epistatic links but instead focus on links due to correlation between phenotypic traits. To this end we view a single trait as an individual agent which strives to maximize its contributed value to the net value of a community. If the value of a

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Michelle L. Beerl conditions is addressed as a fourth objective. All objectives stated above are in general conflicting with each other and that is why we address the problem as a 4-objective (quadcriteria) optimization problem. We assess the performance of a set of state-of-the-art evolutionary multiobjective opti