<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cunha, José C.</style></author><author><style face="normal" font="default" size="100%">Medeiros, Pedro D.</style></author><author><style face="normal" font="default" size="100%">Duarte, Vitor</style></author><author><style face="normal" font="default" size="100%">Lourenço, João</style></author><author><style face="normal" font="default" size="100%">Gomes, Cecilia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Experience in Building a Parallel and Distributed Problem-Solving Environment</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'99)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1999</style></year></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://docentes.fct.unl.pt/sites/default/files/joao-lourenco/files/pdpta99.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">CSREA Press</style></publisher><pages><style face="normal" font="default" size="100%">1804–1809</style></pages><isbn><style face="normal" font="default" size="100%">1-892512-15-7</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We describe our experimentation with the design and implementation of specific environments, consisting of heterogeneous computational, visualization, and control components. We illustrate the approach with the design of a problemsolving environment supporting the execution of genetic algorithms. We describe a prototype supporting parallel execution, visualization, and steering. A life cycle for the development of applications based on genetic algorithms is proposed.&lt;/p&gt;
</style></abstract><notes><style face="normal" font="default" size="100%">&lt;p&gt;n/a&lt;/p&gt;
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