Allele Gene Based Adaptive Genetic Algorithm to the Code Design

• Published in: IEEE transactions on communications Vol. 59; no. 5; pp. 1253 - 1258
• Main Author: Dai, Xiaoming
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.05.2011; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive algorithms; allele gene adaptive mutation (AGAM); Allele gene based adaptive genetic algorithm (AGAGA); Applied sciences; Biological cells; Convergence; Correlation; Crossovers; Design engineering; Equipments and installations; Exact sciences and technology; Gallium; Genes; Genetic algorithms; Information, signal and communications theory; Measurement; Mobile radiocommunication systems; Multiplexing; Noise levels; Optimization; Radio frequency; Radiocommunications; schemata crossover (SC); Signal and communications theory; Studies; Sustaining; Telecommunications; Telecommunications and information theory; Telecommunications systems; universal mobile telecommunications system (UMTS); Performance evaluation; Mobile radiocommunication; High performance; Adaptive algorithm; Wireless telecommunication; Time division multiplexing; Global local method; Genetic algorithm; universal mobile telecommunications system (UMTS); Optimal solution; Allele gene based adaptive genetic algorithm (AGAGA); allele gene adaptive mutation (AGAM); Cross correlation; UMTS system; schematacrossover (SC); Autocorrelation

In this work, an allele gene adaptive mutation (AGAM) and a schemata crossover (SC) operators are designed to improve the performance of the conventional genetic algorithm (GA) and applied to the code design. Specifically, the proposed AGAM exploits both global and local information of the populatio...