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## An Advanced Clonal Selection Algorithm with ad-Hoc Network-based Hypermutation Operators for Synthesis of Topology and Sizing of Analog Electrical Circuits

Citations: | 4 - 0 self |

### Citations

106 |
Spontaneous evolution of modularity and network motifs
- Kashtan, Alon
(Show Context)
Citation Context ...ents [7]. The main idea is to find a general methodology that makes effective this working flow in order to automatically design new analog circuits and speeding up the time-to-market for new devices =-=[8, 9]-=-. In order to tackle this problem, the elitist Immune Programming algorithm (eIP) is introduced: it extends the Immune Programming (IP) algorithm [10] with the introduction of elitism and ad-hoc hyper... |

92 | Automated Synthesis of Analog Electrical Circuits by Means of Genetic Programming
- Koza, Andre, et al.
- 1997
(Show Context)
Citation Context ...ents [7]. The main idea is to find a general methodology that makes effective this working flow in order to automatically design new analog circuits and speeding up the time-to-market for new devices =-=[8, 9]-=-. In order to tackle this problem, the elitist Immune Programming algorithm (eIP) is introduced: it extends the Immune Programming (IP) algorithm [10] with the introduction of elitism and ad-hoc hyper... |

62 | Revisiting the foundations of artificial immune systems: A problem oriented perspective
- Freitas, Timmis
(Show Context)
Citation Context ...n the range [0, 1] according to the following expression: where x g i fitness(x g i sfpf (xgi ) = fpf mfpf (xg 1 − sfpf (xgi ) × mfpf (xgi ) = )k α (x g i ) (g) f MAX pf i ) = e fpf (xg i ) (2) (3) k =-=(4)-=- MAX is the i − th B-cell of the population at generation g, fpf (G) is the max value of the objective function at generation g, instead k is a constant used to constraint the fitness in the range [0,... |

62 |
Genetic Programming III: Darwinian Invention and Problem Solving
- Koza, Bennett, et al.
- 1998
(Show Context)
Citation Context ...veness of the eIP algorithm, we performed several experiments. Firstly, we compared eIP with the standard IP algorithm. We have tested these two algorithms with a population of size d ∈ {5000, 10000} =-=[16]-=-. The mutation probability parameter was settled to Pm ∈ {0.1, 0.3}; since Pm is the percentage of receptor mutated in the best circuit, a larger value of this parameter makes the algorithm acting as ... |

43 | Timmis J: An immune algorithm for protein structure prediction on lattice models
- Cutello, Nicosia, et al.
(Show Context)
Citation Context ...ized in the range [0, 1] according to the following expression: where x g i fitness(x g i sfpf (xgi ) = fpf mfpf (xg 1 − sfpf (xgi ) × mfpf (xgi ) = )k α (x g i ) (g) f MAX pf i ) = e fpf (xg i ) (2) =-=(3)-=- k (4) MAX is the i − th B-cell of the population at generation g, fpf (G) is the max value of the objective function at generation g, instead k is a constant used to constraint the fitness in the ran... |

27 |
Active power filters: a review
- El-Habrouk, Darwish, et al.
(Show Context)
Citation Context ...e, and leaving to the algorithm the automatic discovering of optimal trade-off [17]. Finally, we are designing an improved eIP that is able to synthesize the topology and the sizing of active filters =-=[18]-=-; this last task is a visionary research topic since there is not an automatic approach for the design of these analog circuits and it could be an important step to dramatically decrease the time-to-m... |

23 | A hybrid immune algorithm with information gain for the graph coloring problem
- Cutello, Nicosia, et al.
(Show Context)
Citation Context ...fied with the introduction of elitism. At each generation g, the best solution found so far cannot be erased from the population. This strategy, already introduced in other immune inspired algorithms =-=[5, 6, 2]-=-, greatly helps the convergence of the algorithm and it overcomes the problem of IP that tends to quickly forget good solutions especially in the initial phase of the search process. The other main di... |

21 |
A Synthesis System for Analog Circuits Based on Evolutionary Search and Topological Reuse
- Dastidar, Chakrabarti, et al.
- 2005
(Show Context)
Citation Context ...onents.This operator greatly improves the quality of the design since it allows the automatic introduction of standard components and the reduction of the circuit size with only marginal side effects =-=[15]-=-. Fitness function The quality of the circuit is assessed by means of an ad-hoc objective function; it measures the distance between the curve described by a circuit and the one described by a hypothe... |

19 |
An Evolutionary Approach to Automatic Synthesis of High-Performance Analog Integrated Circuits
- Aplaydin, Balkir, et al.
(Show Context)
Citation Context ...algorithm is adopted for the design of analog circuits belonging to the class of passive filters. A Passive filter is an interesting test-bed tackled firstly by the Genetic Programming (GP) algorithm =-=[11,12,13,14]-=-. We have conducted several experiments in order to highlight two important aspects: firstly, how the elitism impacts the exploring and exploiting ability of the immune programming algorithm; secondly... |

17 | Automatic analogue circuit synthesis using genetic algorithms[C]//Circuits
- Grimbleby
(Show Context)
Citation Context ...algorithm is adopted for the design of analog circuits belonging to the class of passive filters. A Passive filter is an interesting test-bed tackled firstly by the Genetic Programming (GP) algorithm =-=[11,12,13,14]-=-. We have conducted several experiments in order to highlight two important aspects: firstly, how the elitism impacts the exploring and exploiting ability of the immune programming algorithm; secondly... |

17 | Real coded clonal selection algorithm for unconstrained global optimization using a hybrid inversely proportional hypermutation operator
- Cutello, Nicosia, et al.
- 2006
(Show Context)
Citation Context ...tion, called affinity maturation [1]. This bottom-up behaviour has received a great attention in computer science, and it is the main source of inspiration for the emerging class of Immune Algorithms =-=[2,3,4,5,6]-=-. In electronics, the design of analog circuits is an iterative process accomplished by skilled engineers. There is no CAD tool that automatically designs analog circuits starting from a set of requir... |

15 | Immune Algorithms with Aging Operators for the String Folding Problem and the Protein Folding Problem
- Cutello, Morelli, et al.
- 2005
(Show Context)
Citation Context ...fied with the introduction of elitism. At each generation g, the best solution found so far cannot be erased from the population. This strategy, already introduced in other immune inspired algorithms =-=[5, 6, 2]-=-, greatly helps the convergence of the algorithm and it overcomes the problem of IP that tends to quickly forget good solutions especially in the initial phase of the search process. The other main di... |

13 | Immune programming
- Musilek, Lau, et al.
- 2006
(Show Context)
Citation Context ... speeding up the time-to-market for new devices [8, 9]. In order to tackle this problem, the elitist Immune Programming algorithm (eIP) is introduced: it extends the Immune Programming (IP) algorithm =-=[10]-=- with the introduction of elitism and ad-hoc hypermutation operators for handling analog circuits. The eIP algorithm is adopted for the design of analog circuits belonging to the class of passive filt... |

9 |
Towards industrial strength automated design of analog electrical circuits by means of genetic programming
- Koza, Jones, et al.
- 2004
(Show Context)
Citation Context ... order of magnitude of capacitors ranges from 10 −1 F to 10 −11 F. For inductors there is not an analogue standardization, so we have chosen values ranging from 1H to 10 −11 H with a step size of 0.1 =-=[12]-=-. Fig. 1. Passive Filter Circuit. It is possible to note the shunt resistance, RSOURCE, the Load Resistance, RLOAD and the power supply source, VSOURCE. 3 Immune Programming for Analog Circuit Design ... |

5 | Iterative Refinement Of Computational Circuits Using Genetic Programming
- Streeter, Keane, et al.
- 2002
(Show Context)
Citation Context ...ectronics, the design of analog circuits is an iterative process accomplished by skilled engineers. There is no CAD tool that automatically designs analog circuits starting from a set of requirements =-=[7]-=-. The main idea is to find a general methodology that makes effective this working flow in order to automatically design new analog circuits and speeding up the time-to-market for new devices [8, 9]. ... |

5 | Synthesis of topology and sizing of analog electrical circuits by means of genetic programming
- Koza, Andre, et al.
(Show Context)
Citation Context ...the circuit with the optimal fitness function value (a, fpf = 0.0, 12 components) and the one with the lowest number of components (b, fpf = 0.29, 10 components) found by eIP with the Campbell filter =-=[11]-=-. it is possible to note that in the transition band the Campbell filter has not a regular behaviour instead the eIP circuits have a regular and smooth curve. The GP algorithm was able to find a passi... |

4 |
et al: Cellular and Molecular Immunology
- Abbas
- 2001
(Show Context)
Citation Context ...ion. Moreover, the cloned B-cells can undergo to somatic mutations, in order to increase the affinity with an antigen: it is a Darwinian process of variation and selection, called affinity maturation =-=[1]-=-. This bottom-up behaviour has received a great attention in computer science, and it is the main source of inspiration for the emerging class of Immune Algorithms [2–6]. In electronics, the design of... |

4 |
Multiobjective filter design for uncertain stochastic time-delay systems
- Subramanian, Sayed
- 2004
(Show Context)
Citation Context ...ossible to explicitly introduce different design requirements, such as the number of components and the frequency response, and leaving to the algorithm the automatic discovering of optimal trade-off =-=[17]-=-. Finally, we are designing an improved eIP that is able to synthesize the topology and the sizing of active filters [18]; this last task is a visionary research topic since there is not an automatic ... |