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

Authors:
Angelo Ciccazzo;Piero Conca;Giuseppe Nicosia;Giovanni Stracquadanio
Affiliations:
ST Microelectronics, Catania, Italy 95121;Department of Mathematics and Computer Science, University of Catania, Catania, Italy 95125;Department of Mathematics and Computer Science, University of Catania, Catania, Italy 95125;Department of Mathematics and Computer Science, University of Catania, Catania, Italy 95125
Venue:
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Year:
2008

Citing 10
Cited 6

Genetic Programming III: Darwinian Invention & Problem Solving

Genetic Programming III: Darwinian Invention & Problem Solving
Iterative Refinement Of Computational Circuits Using Genetic Programming

GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Real coded clonal selection algorithm for unconstrained global optimization using a hybrid inversely proportional hypermutation operator

Proceedings of the 2006 ACM symposium on Applied computing
Immune programming

Information Sciences: an International Journal
A hybrid immune algorithm with information gain for the graph coloring problem

GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Immune algorithms with aging operators for the string folding problem and the protein folding problem

EvoCOP'05 Proceedings of the 5th European conference on Evolutionary Computation in Combinatorial Optimization
Automated synthesis of analog electrical circuits by means ofgenetic programming

IEEE Transactions on Evolutionary Computation
An evolutionary approach to automatic synthesis of high-performance analog integrated circuits

IEEE Transactions on Evolutionary Computation
A synthesis system for analog circuits based on evolutionary search and topological reuse

IEEE Transactions on Evolutionary Computation
An Immune Algorithm for Protein Structure Prediction on Lattice Models

IEEE Transactions on Evolutionary Computation

Grammar-Based Immune Programming for Symbolic Regression

ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Review Article: Recent Advances in Artificial Immune Systems: Models and Applications

Applied Soft Computing
Grammar-based immune programming

Natural Computing: an international journal
Inferring systems of ordinary differential equations via grammar-based immune programming

ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
Immunodomaince based Clonal Selection Clustering Algorithm

Applied Soft Computing
Automated synthesis of multiple analog circuits using evolutionary computation for redundancy-based fault-tolerance

Applied Soft Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In electronics, there are two major classes of circuits, analog and digital electrical circuits. While digital circuits use discrete voltage levels, analog circuits use a continuous range of voltage. The synthesis of analog circuits is known to be a complex optimization task, due to the continuous behaviour of the output and the lack of automatic design tools; actually, the design process is almost entirely demanded to the engineers. In this research work, we introduce a new clonal selection algorithm, the elitist Immune Programming, (eIP) which uses a new class of hypermutation operators and a network-based coding. The eIPalgorithm is designed for the synthesis of topology and sizing of analog electrical circuits; in particular, it has been used for the design of passive filters. To assess the effectiveness of the designed algorithm, the obtained results have been compared with the passive filter discovered by Koza and co-authors using the Genetic Programming (GP) algorithm. The circuits obtained by eIPalgorithm are better than the one found by GPin terms of frequency response and number of components required to build it.