Parallel Evolutionary Multi-criterion Optimiza- Tion for Mobile Telecommunication Networks Op- Timization
نویسندگان
چکیده
In this paper, we propose a new type of parallel genetic algorithm model for multi objective optimization problems. That is called a ”Master-Slave model with Local Cultivation model (MSLC)”. To clarify the characteristics and effectiveness of this model, the proposed model and the various EAs are applied to solve an antenna arrangement problem of mobile telecommunication. Thorough this problem, advantages and disadvantages of these models are made clarified. Keyword: Parallel Distributed Algorithms, Evolutionary Multi-Criterion Optimization, Mobile Telecommunication Netoworks Optimization
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تاریخ انتشار 2001