<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Komosinski, Maciej</style></author><author><style face="normal" font="default" size="100%">Mensfelt, Agnieszka</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Kaufmann, Paul</style></author><author><style face="normal" font="default" size="100%">Castillo, Pedro A.</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A Flexible Dissimilarity Measure for Active and Passive 3D Structures and Its Application in the Fitness–Distance Analysis</style></title><secondary-title><style face="normal" font="default" size="100%">Applications of Evolutionary Computation</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.framsticks.com/files/common/DissimilarityMeasure3DStructuresFitnessDistance.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><isbn><style face="normal" font="default" size="100%">978-3-030-16692-2</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Evolutionary design of 3D structures – either static structures, or equipped with some sort of a control system – is one of the hardest optimization tasks. One of the reasons are rugged fitness landscapes resulting from complex and non-obvious genetic representations of such structures and their genetic operators. This paper investigates global convexity of fitness landscapes in optimization tasks of maximizing velocity and height of both active and passive structures. For this purpose, a new dissimilarity measure for 3D active and passive structures represented as undirected graphs is introduced. The proposed measure is general and flexible – any vertex properties can be easily incorporated as dissimilarity components. The new measure was compared against the previously introduced measure in terms of triangle inequality satisfiability, changes in raw measure values and the computational cost. The comparison revealed improvements for triangle inequality and raw values at the expense of increased computational complexity. The investigation of global convexity of the fitness landscape, involving the fitness–distance correlation analysis, revealed negative correlation between the dissimilarity of the structures and their fitness for most of the investigated cases.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author><author><style face="normal" font="default" size="100%">Agnieszka Mensfelt</style></author><author><style face="normal" font="default" size="100%">Topa, Paweł</style></author><author><style face="normal" font="default" size="100%">Jarosław Tyszka</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Gruca, Aleksandra</style></author><author><style face="normal" font="default" size="100%">Brachman, Agnieszka</style></author><author><style face="normal" font="default" size="100%">Kozielski, Stanisław</style></author><author><style face="normal" font="default" size="100%">Czachórski, Tadeusz</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Application of a morphological similarity measure to the analysis of shell morphogenesis in Foraminifera</style></title><secondary-title><style face="normal" font="default" size="100%">Man–Machine Interactions 4</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Advances in Intelligent Systems and Computing</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.framsticks.com/files/common/ForaminiferaGenotypePhenotypeMapping.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><volume><style face="normal" font="default" size="100%">391</style></volume><pages><style face="normal" font="default" size="100%">215–224</style></pages><isbn><style face="normal" font="default" size="100%">978-3-319-23436-6</style></isbn><abstract><style face="normal" font="default" size="100%">This work evaluates the genotype-to-phenotype mapping defined by one of the models of growth of foraminifera. Foraminifera are simple unicellular organisms with very diverse morphologies. To analyze the mapping, a morphological similarity measure is needed that compares 3D structures. One of the key components of the similarity estimation algorithm is Singular Value Decomposition (SVD). Since this algorithm is heavily used and its performance is important, four SVD implementations have been compared in this work. Distance matrices of the phenotypes obtained for equally distant genotypes were computed using the similarity measure. For the visualization of the phenotype space, multidimensional scaling techniques were used. Visual comparison of the genotype and the phenotype spaces revealed characteristics and potential weaknesses of the analyzed model of foraminifera growth, and demonstrated usefulness of the proposed approach.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Paweł Topa</style></author><author><style face="normal" font="default" size="100%">Maciej Komosinski</style></author><author><style face="normal" font="default" size="100%">Maciej Bassara</style></author><author><style face="normal" font="default" size="100%">Jarosław Tyszka</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Gruca, Aleksandra</style></author><author><style face="normal" font="default" size="100%">Brachman, Agnieszka</style></author><author><style face="normal" font="default" size="100%">Kozielski, Stanisław</style></author><author><style face="normal" font="default" size="100%">Czachórski, Tadeusz</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">eVolutus: a configurable platform designed for ecological and evolutionary experiments tested on Foraminifera</style></title><secondary-title><style face="normal" font="default" size="100%">Man–Machine Interactions 4</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/978-3-319-23437-3_23</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><isbn><style face="normal" font="default" size="100%">978-3-319-23436-6</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>