Results 101 to 110 of about 911,029 (350)

Evolving interesting maps for a first person shooter [PDF]

, 2011
We address the problem of automatically designing maps for first-person shooter (FPS) games. An efficient solution to this procedural content generation (PCG) problem could allow the design of FPS games of lower development cost with near-infinite replay
Cardamone, Luigi, European Conference on the Applications of Evolutionary Computation, Lanzi, Pier Luca, Togelius, Julian, Yannakakis, Georgios N.   +4 more
core   +1 more source

The cytoskeletal control of B cell receptor and integrin signaling in normal B cells and chronic lymphocytic leukemia

FEBS Letters, EarlyView.
In lymphoid organs, antigen recognition and B cell receptor signaling rely on integrins and the cytoskeleton. Integrins act as mechanoreceptors, couple B cell receptor activation to cytoskeletal remodeling, and support immune synapse formation as well as antigen extraction.
Abhishek Pethe, Tanja Nicole Hartmann
wiley   +1 more source

Aspects of Evolutionary Design by Computers [PDF]

arXiv, 1998
This paper examines the four main types of Evolutionary Design by computers: Evolutionary Design Optimisation, Evolutionary Art, Evolutionary Artificial Life Forms and Creative Evolutionary Design. Definitions for all four areas are provided. A review of current work in each of these areas is given, with examples of the types of applications that have ...
arxiv  

Flow‐based immunomagnetic enrichment of circulating tumor cells from diagnostic leukapheresis product

Molecular Oncology, EarlyView.
The number of circulating tumor cells obtained from prostate cancer patients was increased approximately 5‐fold compared to regular CellSearch when processing 2 mL diagnostic leukapheresis material aliquots and increased by 44‐fold when processing 20 mL DLA aliquots using the flow enrichment target capture Halbach‐array.
Michiel Stevens, Anouk Mentink, Frank A. W. Coumans, Eshwari Dathathri, Khrystany T. Isebia, Jaco Kraan, Ronald de Wit, John W. M. Martens, Leon W. M. M. Terstappen   +8 more
wiley   +1 more source

Evolutionary multiobjective optimization: open research areas and some challenges lying ahead

Complex & Intelligent Systems, 2019
Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges
Carlos A. Coello Coello, Silvia González Brambila, Josué Figueroa Gamboa, Ma Guadalupe Castillo Tapia, Raquel Hernández Gómez   +4 more
doaj   +1 more source

Evolutionary Turing in the Context of Evolutionary Machines [PDF]

arXiv, 2013
One of the roots of evolutionary computation was the idea of Turing about unorganized machines. The goal of this work is the development of foundations for evolutionary computations, connecting Turing's ideas and the contemporary state of art in evolutionary computations.
arxiv  

Info-Evo: Using Information Geometry to Guide Evolutionary Program Learning [PDF]

arXiv, 2021
A novel optimization strategy, Info-Evo, is described, in which natural gradient search using nonparametric Fisher information is used to provide ongoing guidance to an evolutionary learning algorithm, so that the evolutionary process preferentially moves in the directions identified as "shortest paths" according to the natural gradient. Some specifics
arxiv  

Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies

Molecular Oncology, EarlyView.
Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren, Philippe Decruyenaere, Francisco Avila Cobos, Johanna Bult, Jill Deleu, Laudonia Lidia Dipalo, Hetty Hilde Helsmoortel, Eva Hulstaert, Annelien Morlion, Elena Ramos Varas, Kathleen Schoofs, Wim Trypsteen, Eveline Vanden Eynde, Hanne Van Droogenbroeck, Kimberly Verniers, Jo Vandesompele, Anneleen Decock   +16 more
wiley   +1 more source

Efficient Computation of Fitness Function for Evolutionary Clustering

Mendel, 2019
Evolutionary algorithms (EAs) are random search heuristics which can solve various optimization problems. There are plenty of papers describing different approaches developed to apply evolutionary algorithms to the clustering problem, although none of ...
Sergey Muravyov, Denis Antipov, Arina Buzdalova, Andrey Filchenkov   +3 more
doaj   +1 more source

A Technique for Improving Web Mining using Enhanced Genetic Algorithm [PDF]

Journal of Artificial Intelligence and Data Mining, 2019
World Wide Web is growing at a very fast pace and makes a lot of information available to the public. Search engines used conventional methods to retrieve information on the Web; however, the search results of these engines are still able to be refined ...
F. Nosratian, H. Nematzadeh, H. Motameni
doaj   +1 more source