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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Clepner Kerik, Julio Bernardo | - |
dc.date.accessioned | 2014-08-21T14:11:16Z | - |
dc.date.available | 2014-08-21T14:11:16Z | - |
dc.date.issued | 2014-03 | - |
dc.identifier.citation | IEEE South Brazil | es |
dc.identifier.issn | 1548-0992 | - |
dc.identifier.uri | http://www.repositoriodigital.ipn.mx/handle/123456789/19796 | - |
dc.description.abstract | In this paper we propose an evolutionary technique based in a Lyapunov method for mono-objective optimization, that associate to every ergodic controllable finite Markov Chains a Lyapunov-like mono-objective function. For representing the trajectory dynamics properties local-optimal policies are defined to minimize the one-step decrement of the cost-function. We propose a state-value function that increase and decrease between states of the Markov decision processes. Then, we show that a Lyapunov mono-objective function, which can only decrease over time, can be built for the system. For illustration purposes, we present a simulated experiment that shows the trueness of the suggested method. | es |
dc.description.sponsorship | Instituto Politécnico Nacional. CIECAS | es |
dc.language.iso | es | es |
dc.publisher | IEEE LATIN AMERICA TRANSACTIONS, VOL. 12, NO. 2 | es |
dc.subject | Lyapunov | es |
dc.subject | problem solving control methods | es |
dc.subject | search heuristic methods | es |
dc.subject | artificial intelligence | es |
dc.title | Mono-Objective Function Analysis Using an Optimization Approach | es |
dc.type | Article | es |
dc.description.especialidad | Análisis de funciones | es |
dc.description.tipo | es | |
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12TLA2_33Clempner.pdf | 484.75 kB | Adobe PDF | Visualizar/Abrir |
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