Dissertation
Dissertation > Mathematical sciences and chemical > Mathematics > Operations Research > Optimization of the mathematical theory

Research and Improvement of flora algorithm

Author FanFeiZhi
Tutor LuoYi
School North China Electric Power University (Beijing)
Course Systems Engineering
Keywords Flora algorithm ABFO Thermal Process Identification Swarm Intelligence
CLC O224
Type Master's thesis
Year 2010
Downloads 202
Quotes 3
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Flora Optimization (BFO) is developed in recent years , based on foraging behavior of E. coli model of a new swarm intelligence algorithm . It is a simple and efficient stochastic global optimization technique . However, there are also basic BFO algorithm accuracy is not high enough , fast enough convergence shortcomings. In this paper, in order to solve the above problems, the underlying flora algorithm four behaviors were redefined and new concepts introduced to the algorithm, an improved optimization algorithm flora (ABFO). Finally, the improved optimization algorithm is applied to flora Thermal Process Identification and PID parameter identification among the simulation results fully demonstrated the feasibility and effectiveness of the algorithm .

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