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dc.date.accessioned | 2012-10-25T11:55:15Z | |
dc.date.available | 2012-10-25T11:55:15Z | |
dc.date.issued | 2005-10 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/22922 | |
dc.description.abstract | In this paper a thermodynamic approach is presented to the problem of convergence of evolutionary algorithms. The case of the Simulated Annealing algorithm for optimisation is considered as a simple evolution strategy with a control parameter allowing balance between the probability of obtaining an optimal or near-optimal solution and the time that the algorithm will take to reach equilibrium. This capacity is analysed and a theoretical frame is presented, stating a general condition to be fulfilled by an evolutionary algorithm in order to ensure its convergence to a global maximum of the fitness function. | en |
dc.language | en | es |
dc.subject | Simulated annealing | es |
dc.subject | evolutionary computation | es |
dc.subject | thermodynamics of equilibrium | es |
dc.subject | ergodicity | es |
dc.subject | detailed balance | es |
dc.title | On the possibility to design evolutionary algorithms with optimal equilibrium distribution | en |
dc.type | Objeto de conferencia | es |
sedici.title.subtitle | The case of simulated annealing | en |
sedici.creator.person | Segura, Enrique Carlos | es |
sedici.description.note | Eje: VI Workshop de Agentes y Sistemas Inteligentes (WASI) | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Red de Universidades con Carreras en Informática | es |
sedici.subtype | Objeto de conferencia | es |
sedici.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
sedici.date.exposure | 2005-10 | |
sedici.relation.event | XI Congreso Argentino de Ciencias de la Computación | es |
sedici.description.peerReview | peer-review | es |