EH '05 Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware
Promises and challenges of evolvable hardware
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Real-world applications of analog and digital evolvable hardware
IEEE Transactions on Evolutionary Computation
Optimal Design of Passive Power Filters Based on Multi-objective Cultural Algorithms
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
An immune genetic algorithm with orthogonal initialization for analog circuit design
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Hi-index | 0.00 |
Passive Power Filters (PPFs) are vital equipments for harmonic pollution control, but optimal design of PPFs is a rather difficult problem of multi-objective optimization and evaluation. On the basis of our previous work in evolvable hardware, especially evolutionary design of circuits, a Uniform Design Technique (UDT) based multi-objective genetic algorithm was developed towards optimal design of PPFs. It is characterized by an efficient and effective encoding-decoding scheme based on the standard series of component values, a mechanism to integrate and evaluate multi-objectives based on UDT, weight-vectors adjusting and PSpice simulation, a UDT based multiparent crossover operator to improve offspring quality and computation cost, and an adaptation technique for genetic parameters to maintain the individual diversity and track the GA process. It is shown by simulation results capable of searching out a set of effective design results of PPFs, which meet the main optimization objectives and reflect roughly interactions between them.