Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Kim F. Man"'
Publikováno v:
IEEE Industrial Electronics Magazine. 13:125-126
Autor:
K. F. Tsang, Kim F. Man, Roberto Fernandez Molanes, Wallace K. S. Tang, Jose Farina, Juan J. Rodriguez-Andina, Martin Garaj
Publikováno v:
ISIE
Particle Swarm Optimization (PSO) is a widely used algorithm to solve complex optimization problems with non-linear objective functions. PSO usually requires powerful and expensive computers to achieve reasonable execution times. Sometimes the price
Publikováno v:
IEEE Transactions on Industrial Electronics. 57:1127-1131
Recently, the identification of biological neural networks has been reformulated as an optimization problem based on a framework of adaptive synchronization. In this paper, four different optimization algorithms, including genetic algorithm, jumping
Publikováno v:
IEEE Transactions on Industrial Electronics. 55:4075-4084
A new jumping genes paradigm in the format of hierarchical genetic algorithm is proposed for optimizing the power voltage control systems. The advantage of this scheme is its unique capacity for finding the required solutions that can be used for sta
Publikováno v:
IEEE Circuits and Systems Magazine. 8:18-36
A new evolutionary computing algorithm on the basis of "jumping genes" phenomenon is presented in this article. It emulates the gene transposition in the genome that was discovered by Nobel Laureate Dr. Barbara McClintock from her work on maize chrom
Publikováno v:
Fuzzy Sets and Systems. 149:149-186
A new scheme based on multi-objective hierarchical genetic algorithm (MOHGA) is proposed to extract interpretable rule-based knowledge from data. The approach is derived from the use of multiple objective genetic algorithm (MOGA), where the genes of
Publikováno v:
Signal Processing. 83:2021-2035
In this paper, we propose to use genetic algorithm (GA) to solve the blind infinite-impulse-response (IIR) channel estimation problem. The contributions of this paper are three-fold: (1) We prove that by oversampling the output of a single-input-sing
Publikováno v:
Signal Processing. 82:1047-1058
To set up personal communication services networks using code division multiple access cellular system standard, cost is always an important factor for consideration. In this paper, we aim to present a genetic algorithm-based method to reduce the cos
Publikováno v:
Signal Processing. 82:737-748
In this paper, we present a genetic approach for training hidden Markov models using minimum classification error (MCE) as the reestimation criteria. This approach is discriminative and proved to be better than other non-discriminative approach such
Publikováno v:
IFAC Proceedings Volumes. 34:176-180
A secure digital communication system based on chaotic theory is proposed to fence off the intrusion of eavesdroppers during the transmission of signal and data. With the master-slave M-synchronization technique, the transmitter and the receiver are