Cuckoo Search (CS) algorithm has the characteristics of few parameters, easy realization and strong exploration ability. However, CS algorithm relies heavily on the random step in the process of exploration and lacks ...
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ISBN:
(纸本)9781728121284
Cuckoo Search (CS) algorithm has the characteristics of few parameters, easy realization and strong exploration ability. However, CS algorithm relies heavily on the random step in the process of exploration and lacks communication with excellent individuals in the process of optimization, which leads to slow convergence speed of CS algorithm. Firefly algorithm (fa) achieves the goal of optimizing by constantly approaching individuals who are better than themselves. Inspired by the firefly algorithm, Our search algorithm introduces the firefly mechanism into the CS algorithm to increase the information exchange between particles to improve the convergence speed of the algorithm. CS-fa has no random term of fa, because cuckoo search algorithm has powerful global exploring ability. The simulation results show that our algorithm CS-fa has better optimization ability and faster convergence speed than CS algorithm, fa and also PSO algorithm.
Archie parameters play a critical role in accurately identifying water saturation for a given reservoir condition. Due to interdependence of these parameters, it is difficult to estimate them accurately. In order to a...
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Archie parameters play a critical role in accurately identifying water saturation for a given reservoir condition. Due to interdependence of these parameters, it is difficult to estimate them accurately. In order to achieve more accurate parameters, we model a non-convex optimization problem based on the core Archie parameters' estimate (CAPE). Then we present a new hybrid global optimization method to solve this non-convex problem. The hybrid technique has the features of both fast local convergence in interior point method and global convergence in Firefly algorithm (fa). Finally, our method was implemented to determine Archie parameters and some comparisons are done among two deterministic techniques and four population-based algorithms. Water saturation profiles were generated using the different Archie parameters determined by six techniques. These profiles have shown a significant difference in water saturation values between CAPE methods and population-based methods. These results highlight that our proposed algorithm performed better than conventional CAPE and three dimension (3D) method for reservoirs to calculate the water saturation values due to more accurate Archie parameters achieved by our method. (C) 2015 Elsevier B.V. All rights reserved.
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