Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
How to Solve It: Modern Heuristics
How to Solve It: Modern Heuristics
International Journal of RF and Microwave Computer-Aided Engineering - Special Issue on RF and Microwave Filters, Modeling and Design
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
A synthesis system for analog circuits based on evolutionary search and topological reuse
IEEE Transactions on Evolutionary Computation
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This paper presents a Memetic Evolutionary Algorithm for automated compact filter design using two-port building-blocks. In general, complex circuits are designed with suitably arranged two-port elements. The proposed representation scheme uses a proposed Positional Matrix, associating two-port building-blocks, their possible connections (cascade, serial, parallel or hybrid), and their parameters. The candidate designs are processed through suitable bidimensional evolutionary operators. The solutions are evolved using a bi-objective classification process, taking into account the performance evaluations, based on scattering parameters and size of the circuit. Promising candidate solutions are fine-tuned by a local search method. Results demonstrated that two-port compact filters are achieved, using simple microstrip building-blocks for describing the general passive microwave circuits.