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Multi-objective Representation Setups for Deformation-Based Design Optimization [chapter]

Andreas Richter, Jascha Achenbach, Stefan Menzel, Mario Botsch
2017 Lecture Notes in Computer Science  
To initialize representations for a high performing optimization we utilize the concept of evolvability.  ...  The increase of complexity in virtual product design requires high-quality optimization algorithms capable to find the global parameter solution for a given problem.  ...  Evolvability for Linear Deformations The biological concept of evolvability is a very promising approach to measure the expected performance of evolutionary processes [23] .  ... 
doi:10.1007/978-3-319-54157-0_35 fatcat:afob4pbyqjgknlgm62zrgyopzq

Topology optimization of geometrically nonlinear structures using an evolutionary optimization method

Meisam Abdi, Ian Ashcroft, Ricky Wildman
2018 Engineering optimization (Print)  
This is achieved by implementing a total Lagrangian finite element formulation and defining a structural performance criterion appropriate for the objective function of the optimization problem.  ...  The topology optimization using isolines/isosurfaces and extended finite element method (Iso-XFEM) is an evolutionary optimization method developed in previous studies to enable the generation of high-resolution  ...  XFEM for geometrically nonlinear behaviour To find the properties of the elements on the evolving boundary during the optimization process, a similar XFEM scheme as in the linear case (Section 2.2) can  ... 
doi:10.1080/0305215x.2017.1418864 fatcat:dwuhk5whprelfim6mbgdttrwr4

Evolution by Adapting Surrogates

Minh Nghia Le, Yew Soon Ong, Stefan Menzel, Yaochu Jin, Bernhard Sendhoff
2013 Evolutionary Computation  
Further, in contrast to the common use of fitness prediction error as a criterion for the selection of surrogates, the concept of evolvability to indicate the productivity or suitability of an approximation  ...  methodology that brings about fitness improvement in the evolutionary search is introduced as the basis for adaptation.  ...  The authors would like to thank the editor and reviewers for their thoughtful suggestions and constructive comments.  ... 
doi:10.1162/evco_a_00079 pmid:22564044 fatcat:rcrwznblnvaovhtqamodmh4nse

Image registration by the extended evolutionary self-organizing map

Everardo Maia, Guilherme De A. Barreto, André Luís Vasconcelos Coelho
2010 The European Symposium on Artificial Neural Networks  
The Evolutionary Self-Organizing Map (EvSOM) is a recently proposed robust approach for topographic map formation that is based on evolutionary algorithms.  ...  In this work, a variant of EvSOM is proposed in order to fully exploit the neighborhood preservation property of the topographic maps induced by it when dealing with the image registration (IR) problem  ...  Each evolved map is arranged as a grid of N neurons, each located in a fixed position in the output array and associated with a vector of weights, w j ∈ R P , j = 1, . . . , N .  ... 
dblp:conf/esann/MaiaBC10 fatcat:auaktrhre5gt5nnvb7ohz3q4uq

A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis

Pablo Mesejo, Óscar Ibáñez, Óscar Cordón, Stefano Cagnoni
2016 Applied Soft Computing  
search spaces; selecting the optimization and segmentation algorithms' parameters; choosing the representation for encoding prior knowledge on the image domain of interest; initializing the curve in a  ...  It aims to serve as a reference work which proposes some guidelines for choosing and designing the most appropriate combination of deformable models and metaheuristics when facing a given segmentation  ...  In general, the quality of a solution is defined as the average quality of the segmentations obtained in the training phase using the parameter values it encodes.  ... 
doi:10.1016/j.asoc.2016.03.004 fatcat:3mgmo7vuurd4tnijod5a5kwn7m

Control of Robot Interaction Forces Using Evolutionary Techniques [chapter]

Jose de, Yohannes Kassahun, Frank Kirchner
2010 Factory Automation  
Each of these controllers obtained as a result of the evolutionary process the optimal weight values for a given force reference.  ...  Neuroevolution is the combination of neural networks as structure for the controller and an evolutionary strategy which in the simplest case searches for the optimal weights of this neural network.  ...  Factory Automation Edited by Javier Silvestre-Blanes Hard cover, 602 pages Factory automation has evolved significantly in the last few decades, and is today a complex, interdisciplinary, scientific area  ... 
doi:10.5772/9521 fatcat:i2gmxxid5rh6pokbkfd67rrani

Ab initio nonrigid X-ray nanotomography

Michal Odstrcil, Mirko Holler, Jörg Raabe, Alessandro Sepe, Xiaoyuan Sheng, Silvia Vignolini, Christian G. Schroer, Manuel Guizar-Sicairos
2019 Nature Communications  
Although sample deformation caused by radiation damage can be partly mitigated by cryogenic protection, it is still present in these conditions and, as we exemplify here using a specimen extracted from  ...  Reaching the full potential of X-ray nanotomography, in particular for biological samples, is limited by many factors, of which one of the most serious is radiation damage.  ...  We thank Ana Diaz for help with PXCT measurements and Ullrich Steiner for fruitful discussions.  ... 
doi:10.1038/s41467-019-10670-7 pmid:31197135 pmcid:PMC6565693 fatcat:6ga26bdcp5c67g6a2y6vogq264

Planning multiple paths with evolutionary speciation

C. Hocaoglu, A.C. Sanderson
2001 IEEE Transactions on Evolutionary Computation  
Generation of multiple alternative paths is an example of multimodal search and, in our previous work, a new approach to multimodal function optimization has been developed using a genetic algorithm (GA  ...  an evolutionary algorithm for solving the multimodal optimization problem, generating multiple alternative paths simultaneously.  ...  Computing resources of the Electronics Agile Manufacturing Research Institute (EAMRI) at Rensselaer and the State University of New York, Stony Brook, have also been used during this research in addition  ... 
doi:10.1109/4235.930309 fatcat:wkb65fdszrgw3fosbclrhakn6m

Design of Evolutionary Methods Applied to the Learning of Bayesian Network Structures [chapter]

Thierry, Alain Delaplace, Muhammad Muzzamil, Hubert Cardot, Jean-Yves Ramel
2010 Bayesian Network  
only a locally-optimal solution.  ...  An alternative is the use of a measure for evaluating the quality of a structure knowing the training database in combination with a heuristic exploring a space of options.  ...  They provide a language that supports efficient algorithms for the automatic construction of expert systems in several different contexts.  ... 
doi:10.5772/10078 fatcat:srelubi6rrbqlhonl2l5c5ukri

Topology design of three-dimensional continuum structures using isosurfaces

Mariano Victoria, Osvaldo M. Querin, Pascual Martí
2011 Advances in Engineering Software  
In this study the von Mises stress was investigated.  ...  This paper presents an extension to this algorithm for topology design of three-dimensional continuum structures.  ...  Travelling funds for the second named author were provided by the School of Mechanical Engineering at the University of Leeds.  ... 
doi:10.1016/j.advengsoft.2011.05.003 fatcat:skifqsvwvrh77cfiala3vc5fzq

Automatic evolutionary medical image segmentation using deformable models

Andrea Valsecchi, Pablo Mesejo, Linda Marrakchi-Kacem, Stefano Cagnoni, Sergio Damas
2014 2014 IEEE Congress on Evolutionary Computation (CEC)  
Provided with a set of examples, the GA learns the correct weights for each image feature used in the segmentation.  ...  The method combines regionand edge-based information with the prior shape knowledge introduced using deformable registration.  ...  Related works In a large number of contributions, evolutionary techniques or other MHs have been used to evolve DMs.  ... 
doi:10.1109/cec.2014.6900466 dblp:conf/cec/ValsecchiMMCD14 fatcat:xobyn4epqrgvpjdeu7usglgsy4

Multi-Objective Optimization of Plastics Thermoforming

António Gaspar-Cunha, Paulo Costa, Wagner de Campos Galuppo, João Miguel Nóbrega, Fernando Duarte, Lino Costa
2021 Mathematics  
Also, there is a clear improvement in the successive generations of the evolutionary algorithm.  ...  The practical application of a multi-objective optimization strategy based on evolutionary algorithms was proposed to optimize the plastics thermoforming process.  ...  Acknowledgments: The authors would like to acknowledge the Minho University cluster under the project NORTE-07-0162-FEDER-000086 and the Minho Advanced Computing Center (MACC) for providing HPC resources  ... 
doi:10.3390/math9151760 fatcat:lf4lcednwfctbgjprcyktjh7j4

Real-World Applications of Multiobjective Optimization [chapter]

Theodor Stewart, Oliver Bandte, Heinrich Braun, Nirupam Chakraborti, Matthias Ehrgott, Mathias Göbelt, Yaochu Jin, Hirotaka Nakayama, Silvia Poles, Danilo Di Stefano
2008 Lecture Notes in Computer Science  
The methods used include both conventional mathematical programming and evolutionary optimization, and in one case an integration of the two approaches.  ...  Although not a comprehensive review, the case studies provide evidence of the extent of the potential for using classical and modern multiobjective optimization in practice, and opens many opportunities  ...  Therefore, a major concern in using surrogates in evolutionary optimization is to reduce computational cost as much as possible without misleading the evolutionary algorithm.  ... 
doi:10.1007/978-3-540-88908-3_11 fatcat:gsows4bpgfbrvp6d55bknchk2y

D2.1 Initial version of parametric design space

Antonios Liapis, Konstantinos Sfikas, Theodore Galanos, Georgios N. Yannakakis, Helmut Kinzler, Daria Zolotareva, Risa Tadauchi, Aleksandra Mnich-Spraiter, Jeg Dudley, Edoardo Tibuzzi, Arun Selvaraj, Dinos Ipiotis (+1 others)
2021 Zenodo  
This deliverable, grounded in a review of the state-of-the-art in the pertinent areas, aims to map out the parametric space that artificially intelligent algorithms can explore, as well as mathematical  ...  The document surveys how current approaches in AI for architecture define representations, functional objectives and constraints, and identifies formulas, code libraries, and software that can be used  ...  To a large extent, this section views problem representation from the perspective of evolutionary computation, which will be used for optimization and quality-diversity search [6, 7] .  ... 
doi:10.5281/zenodo.5095065 fatcat:rtyb2l5qwbb7nfhwelonbgvgue

Evaluation of various evolutionary methods for medical image registration

Sergio Damas, Oscar Cordon, Jose Santamaria
2011 2011 IEEE Third International Workshop On Computational Intelligence In Medical Imaging  
In the last few decades, image registration (IR) has been established as a very active research area in computer vision.  ...  In this contribution, we aim to develop a preliminary experimental study on some of the most recognized feature-based IR methods considering evolutionary algorithms.  ...  Similarly to MHs, evolutionary computation (EC) [10] makes use of computational models of evolutionary processes for evolving populations of solutions as key elements in the design and implementation of  ... 
doi:10.1109/cimi.2011.5952044 dblp:conf/cimi/DamasCS11 fatcat:jwjfnmg6kvhvhhyfwpwmax6abq
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