Paper Info
Title
Multiobjective Optimization Techniques: A Study of the Energy Minimization Method and Its Application to the Synthesis of Ota Amplifiers
Abstract
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.
Year
DOI
Venue
2000
10.1109/EH.2000.869351
Evolvable Hardware
Keywords
Field
DocType
multiobjective fitness evaluation method,genetic algorithm,proposed modification,overall evaluation,single-ended miller operational amplifier,ota amplifiers,energy minimization,multiobjective optimization techniques,energy minimization method,modified model,multiobjective optimization,operational amplifier,genetic engineering,propulsion,annealing,operational amplifiers,computational intelligence,minimisation,independent component analysis,genetic algorithms
Mathematical optimization,Control engineering,Multi-objective optimization,Minimisation (psychology),Engineering,Operational amplifier,Genetic algorithm,Amplifier,Energy minimization
Conference
ISBN
Citations 
PageRank 
0-7695-0762-X
3
0.70
References 
Authors
3
4
Name
Order
Citations
PageRank
Milton Jonathan130.70
Marco Aurélio Cavalcanti Pacheco214322.29
Marley B. R. Vellasco328047.47
Ricardo Salem Zebulum412519.54