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—Research into adjusting the probabilities of crossover and mutation p m in genetic algorithms (GAs) is one of the most significant and promising areas in evolutionary computation. p x and p m greatly determine whether the algorithm will find a near-optimum solution or whether it will find a solution efficiently. Instead of using fixed values of p x and p m(More)
—This paper presents an investigation into the use of the delay coordinate embedding technique in the multi-input-multioutput-adaptive-network-based fuzzy inference system (MANFIS) for chaotic time series prediction. The inputs to the MANFIS are embedded-phase-space (EPS) vectors preprocessed from the time series under test, while the output time series is(More)
—This correspondence presents pseudocoevolutionary genetic algorithms (GAs) for power electronic circuit (PEC) optimization. Circuit parameters are optimized through two parallel coadapted GA-based optimization processes for the power conversion stage (PCS) and feedback network (FN), respectively. Each process has tunable and untunable para-metric vectors.(More)
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