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- W1459695164 abstract "In this paper, an improved interior search algorithm (ISA) is designed by incorporating $$Lacute{e}vy$$ flight for solving optimisation problems. $$Lacute{e}vy$$ flight pattern seen in some birds, is a special type of movement along a straight line followed by sudden turns in random directions. The convergence rate of ISA is improved using the principles of $$Lacute{e}vy$$ flight in the proposed levy interior search algorithm (LISA). LISA is validated against a set of benchmark optimisation problems to demonstrate its performance. Further, LISA is used for parameter identification of an integer order Rossler’s chaotic system. Simulation results show that LISA outperforms other well-known existing optimisation algorithms like particle swarm optimisation (PSO), ISA and cuckoo search algorithm (CSA)." @default.
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- W1459695164 date "2015-01-01" @default.
- W1459695164 modified "2023-09-24" @default.
- W1459695164 title "A Levy Interior Search Algorithm for Chaotic System Identification" @default.
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- W1459695164 doi "https://doi.org/10.1007/978-3-319-19824-8_11" @default.
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