## (2007)

### BibTeX

@MISC{B07,

author = {Salvatore Rinaudo B and Eva Sciacca A},

title = {},

year = {2007}

}

### OpenURL

### Abstract

Available online at www.sciencedirect.com

### Citations

1282 |
Multi-Objective Optimization using Evolutionary Algorithms
- Deb
- 2001
(Show Context)
Citation Context ...y, moreover they do not give circuit designers the freedom to choose among different, equally feasible solutions. A big step forward in this direction can be achieved using a multi-objective approach =-=[8,1]-=-. This technique allows different objectives to be treated separately and simultaneously during the optimization process. The circuit designer is thus allowed to choose one solution that privileges on... |

996 | A fast and elitist multiobjective genetic algorithm: NSGA-II
- Deb, Agrawal, et al.
- 2002
(Show Context)
Citation Context ...igner’s circuit). The representation of candidate solutions does not have to be binary coding (integer, real, mixed, etc.). In this paper, a well-known evolutionary algorithm, NSGAII, is used. NSGAII =-=[10]-=- is an elitist evolutionary algorithm with a fast nondominated sorting procedure and a density estimation of the solutions provided by the crowding distance. In order to tackle the integer/discrete/co... |

61 |
An introduction to mixed-signal IC test and measurement”, Oxford series
- Burns, Roberts
- 2001
(Show Context)
Citation Context ...64.5% 68% 85.5% 70% 94% 100% 99.5%180 G. Nicosia et al. / Knowledge-Based Systems 21 (2008) 175–183 so on. They provide a narrow pass-band to the signal and attenuate unwanted noise in the stop-band =-=[2]-=-. Fabrication of analog filters in state-of-the-art VLSI technology allows both passive and active components to be integrated in the same silicon die. Although a great advantage from the economic vie... |

57 | The NEWUOA software for unconstrained optimization without derivatives”, in Large-Scale Nonlinear Optimization
- Powell
- 2006
(Show Context)
Citation Context ...ural model; and silicon area. Optimization results obtained using A-NSGAII are summarized in Table 2, where a comparison with three state-of-the-art deterministic algorithms (Powel’s algorithm NEWUOA =-=[15]-=-, DIRECT [14], A-CRS [12]) is also reported. None of the investigated deterministic algorithms is able to find feasible solutions, moreover the best solutions found by such algorithms violates more th... |

53 |
Tits, “DELIGHT-SPICE: An optimization-based system for the design of integrated circuits
- Nye, Riley, et al.
- 1988
(Show Context)
Citation Context ...cosia), salvatore.rinaudo @st.com (S. Rinaudo), sciacca@dmi.unict.it (E. Sciacca). URL: http://www.dmi.unict.it/nicosia (G. Nicosia). with the minimum time effort (i.e., minimizing the timeto-market) =-=[9]-=-. Due to the complexity of state-of-the-art analog circudits, global and local optimization algorithms have to be extensively employed to find a set of feasible solutions that satisfies all objectives... |

41 |
System-on-Chip Beyond the Nanometer Wall
- Magarshack, Paulin
(Show Context)
Citation Context ...ale Integration) basis. This has greatly increased the complexity of state-of-theart integrated circuits (ICs) whose design is even more targeted towards system-on-chip or system-in-package solutions =-=[5]-=-. In this context, the role of CAD techniques for circuit analysis and optimization became essential to obtain solutions that satisfy the requested performance * Corresponding author. E-mail addresses... |

32 | A locally-biased form of the DIRECT algorithm
- Gablonsky, Kelley
- 2001
(Show Context)
Citation Context ...nd silicon area. Optimization results obtained using A-NSGAII are summarized in Table 2, where a comparison with three state-of-the-art deterministic algorithms (Powel’s algorithm NEWUOA [15], DIRECT =-=[14]-=-, A-CRS [12]) is also reported. None of the investigated deterministic algorithms is able to find feasible solutions, moreover the best solutions found by such algorithms violates more than one constr... |

24 | Mismatch analysis and direct yield optimization by spec-wise linearization and feasibilityguided search
- Schenkel, Pronath, et al.
- 2001
(Show Context)
Citation Context ...se variations involving all the chips in a wafer). Since there is a direct correlation between yield and production level, yield maximization is a strategic objective of the microelectronics industry =-=[6]-=-. 3. IC design as a constrained MOP The research work is motivated by the observation that most circuit design problems involve multiple, conflicting, and non-commensurate objectives; it is necessary,... |

21 | Static noise margin variation for sub-threshold SRAM in 65-nm CMOS
- Calhoun, Chandrakasan
- 2006
(Show Context)
Citation Context ...m provides 36 non dominated points. Moreover, the degree of coverage and distribution across the objective space is satisfactory. 7. Ultra wideband low noise amplifier Ultra wideband (UWB) signalling =-=[17,18]-=- is the modern art of reusing previously allocated RF bands by hiding sigFig. 2. (Left plot) Circuit schematic of the Leapfrog Filter. (Right plot) Pareto Front observed of Leapfrog Filter using 3 obj... |

16 | M.: “A Hybrid Immune Algorithm with Information Gain for the Graph Coloring
- Nicosia, Cutello, et al.
(Show Context)
Citation Context ...urnament selection, the individual having a lesser X value wins the tournament. The optimization process ends when a maximum number of runs is reached or information gain reaches a final steady state =-=[3]-=-. 5. Radio frequency low noise amplifier The RF Low Noise Amplifier (LNA) is one of the most critical building blocks in modern integrated radio frequency (RF) transceivers. It is integrated into the ... |

15 | M.: Clonal selection algorithms: a comparative case study using effective mutation potentials
- Cutello, Narzisi, et al.
- 2005
(Show Context)
Citation Context ...ed version of NSGAII, Advanced NSGAII (A-NSGAII). Different kind of mutations could be used [13], in particular convex mutation, self-adaptive mutation, Gaussian mutation and hybrid Gaussian mutation =-=[11,26]-=-. They differ in the procedure used to obtain the mutated value. In details: • Self-adaptive mutation is then computed by x new i xi þ ri Nð0; 1Þ; where r0 i ri expððs Nð0; 1ÞÞþðs0 ffiffiffiffiffi... |

12 |
Immune Algorithms with Aging operators for the String Folding Problem and the Protein Folding Problem
- Cutello, Morelli, et al.
- 2005
(Show Context)
Citation Context ...ed version of NSGAII, Advanced NSGAII (A-NSGAII). Different kind of mutations could be used [13], in particular convex mutation, self-adaptive mutation, Gaussian mutation and hybrid Gaussian mutation =-=[11,26]-=-. They differ in the procedure used to obtain the mutated value. In details: • Self-adaptive mutation is then computed by x new i xi þ ri Nð0; 1Þ; where r0 i ri expððs Nð0; 1ÞÞþðs0 ffiffiffiffiffi... |

11 | R.A.Rutenbar, “Generation of yield-aware pareto surfaces for hierarchical circuit design space exploration
- Tiwary
(Show Context)
Citation Context ...y, moreover they do not give circuit designers the freedom to choose among different, equally feasible solutions. A big step forward in this direction can be achieved using a multi-objective approach =-=[8,1]-=-. This technique allows different objectives to be treated separately and simultaneously during the optimization process. The circuit designer is thus allowed to choose one solution that privileges on... |

7 |
Initiators of multicriteria optimization
- Stadler
- 1986
(Show Context)
Citation Context ...point x which would decrease some criterion without causing a simultaneous increase in at least one other criterion. The notion of optimum is changed, we are using the Edgeworth-Pareto Optimum notion =-=[7]-=-: the aim is to find good compromises (or trade-offs) rather than a single solution as in global optimization. A Pareto optimal set that truly meets this definition is called a true Pareto optimal set... |

7 | Comparison among evolutionary algorithms and classical optimization methods for circuit design problems
- Anile, Cutello, et al.
- 2005
(Show Context)
Citation Context ...involve multiple, conflicting, and non-commensurate objectives; it is necessary, hence, the usage of proper algorithms to optimise multiple conflicting objectives while satisfying several constraints =-=[25]-=-. While both integer and discrete variables have a discrete nature, only discrete variables can assume floating-pointG. Nicosia et al. / Knowledge-Based Systems 21 (2008) 175–183 177 values (they are... |

5 | Multi-objective evolutionary algorithms and pattern search methods for circuit design problems
- Biondi, Ciccazzo, et al.
- 2006
(Show Context)
Citation Context ...ues, spiral inductor geometry, etc. Very frequently two or more of these constraints are conflicting, i.e. improving one forces the other(s) to worsen, thus a suitable tradeoff has to be accomplished =-=[23]-=-. Traditional single-objective optimization algorithms provide only one solution (sometimes a set of candidate solutions [24]) to such problems, which minimizes/maximizes an overall objective function... |

4 |
A global optimization approach for the synchronous motors design by finite element analysis,” Dip. di Informatica e Sistemistica “A. Ruberti,” Univ. di Roma “La Sapienza
- Cirio, Lucidi, et al.
(Show Context)
Citation Context ...rea. Optimization results obtained using A-NSGAII are summarized in Table 2, where a comparison with three state-of-the-art deterministic algorithms (Powel’s algorithm NEWUOA [15], DIRECT [14], A-CRS =-=[12]-=-) is also reported. None of the investigated deterministic algorithms is able to find feasible solutions, moreover the best solutions found by such algorithms violates more than one constraint. The DI... |

4 | Device Optimization for Ultra-Low Power Digital Sub-Threshold Operation - Paul, Raychowdhury, et al. |

2 |
Real coded clonal selection algorithm for global numerical optimization using a new inversely proportional hypermutation operator, in: 21st
- Cutello, Narzisi, et al.
(Show Context)
Citation Context ...distance. In order to tackle the integer/discrete/continuous variables, we designed and implemented a modified version of NSGAII, Advanced NSGAII (A-NSGAII). Different kind of mutations could be used =-=[13]-=-, in particular convex mutation, self-adaptive mutation, Gaussian mutation and hybrid Gaussian mutation [11,26]. They differ in the procedure used to obtain the mutated value. In details: • Self-adapt... |

2 |
Silicon bipolar LNAs
- Girlando, Ragonese, et al.
- 2004
(Show Context)
Citation Context ...l portable hand-held application to allow for long battery life. Other critical performance parameters of LNAs are gain and impedance matching. The circuit schematic of the RF LNA under investigation =-=[16]-=- is shown in Fig. 1 (left plot). It is based on a cascode configuration with integrated emitter degeneration inductor. The cascode topology provides excellent frequency stability at high gain and high... |

2 |
A variation-tolerant sub-threshold design approach
- Jayakumar, Khatri
(Show Context)
Citation Context ...m provides 36 non dominated points. Moreover, the degree of coverage and distribution across the objective space is satisfactory. 7. Ultra wideband low noise amplifier Ultra wideband (UWB) signalling =-=[17,18]-=- is the modern art of reusing previously allocated RF bands by hiding sigFig. 2. (Left plot) Circuit schematic of the Leapfrog Filter. (Right plot) Pareto Front observed of Leapfrog Filter using 3 obj... |

2 | Ultralow power computing with sub-threshold leakage: a comparative study of bulk and - Raychowdhury, Paul, et al. |

2 | Low-power design space exploration considering process variation using robust optimization - Srivastava, Kachru, et al. - 2007 |