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The Second NASA/DoD Workshop on Evolvable Hardware (EH'00)
Multiobjective Optimization Techniques: A Study of the Energy Minimization Method and Its Application to the Synthesis of Ota Amplifiers
Palo Alto, California
July 13-July 15
ISBN: 0-7695-0762-X
Milton Jonathan, Catholic University of Rio de Janeiro
Marco Aurélio Cavalcanti Pacheco, Catholic University of Rio de Janeiro
Marley B.R. Vellasco, Catholic University of Rio de Janeiro
Ricardo Salem Zebulum, Jet Propulsion Laboratory
This paper reviews the multiobjective fitness evaluation method called Energy Minimization [6,7,8] and presents an analysis of the method's behavior when used in a genetic algorithm applied to the synthesis of single-ended Miller operational amplifiers. A modified model is proposed in order to overcome some of the weaknesses pointed out and improves the model's performance. Finally, experimental results are presented and analyzed, leading to an overall evaluation of the benefits provided by the proposed modifications.
Citation:
Milton Jonathan, Marco Aurélio Cavalcanti Pacheco, Marley B.R. Vellasco, Ricardo Salem Zebulum, "Multiobjective Optimization Techniques: A Study of the Energy Minimization Method and Its Application to the Synthesis of Ota Amplifiers," eh, pp.133, The Second NASA/DoD Workshop on Evolvable Hardware (EH'00), 2000
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