An Optimization Technique for Solving a Class of Ridge Fuzzy Regression Problems

Author(s):  
Delara Karbasi ◽  
Alireza Nazemi ◽  
Mohammad Reza Rabiei
2020 ◽  
Vol 40 (4) ◽  
pp. 601-612
Author(s):  
Amruta Rout ◽  
Deepak Bbvl ◽  
Bibhuti B. Biswal ◽  
Golak Bihari Mahanta

Purpose This paper aims to propose fuzzy-regression-particle swarm optimization (PSO) based hybrid optimization approach for getting maximum weld quality in terms of weld strength and bead depth of penetration. Design/methodology/approach The prediction of welding quality to achieve best of it is not possible by any single optimization technique. Therefore, fuzzy technique has been applied to predict the weld quality in terms of weld strength and weld bead geometry in combination with a multi-performance characteristic index (MPCI). Then regression analysis has been applied to develop relation between the MPCI output value and the input welding process parameters. Finally, PSO method has been used to get the optimal welding condition by maximizing the MPCI value. Findings The predicted weld quality or the MPCI values in terms of combined weld strength and bead geometry has been found to be highly co-related with the weld process parameters. Therefore, it makes the process easy for setting of weld process parameters for achieving best weld quality, as there is no need to finding the relation for individual weld quality parameter and weld process parameters although they are co-related in a complicated manner. Originality/value In this paper, a new hybrid approach for predicting the weld quality in terms of both mechanical properties and weld geometry and optimizing the same has been proposed. As these parameters are highly correlated and dependent on the weld process parameters the proposed approach can effectively analyzing the ambiguity and significance of each process and performance parameter.


2011 ◽  
Vol 131 (4) ◽  
pp. 654-666
Author(s):  
Qingliang Zhang ◽  
Takahiro Ueno ◽  
Noboru Morita

Author(s):  
Krishna Rudraraju Chaitanya ◽  
P. Mallikarjuna Rao ◽  
K. V. S. N. Raju ◽  
G. S. N. Raju

Author(s):  
. Geetanjli

The power control in CDMA systems, grant numerous users to share resources of the system uniformly between each other, leading to expand capacity. With convenient power control, capacity of CDMA system is immense in contrast of frequency division multiple access (FDMA) and time division multiple access (TDMA). If power control is not achieved numerous problems such as the near-far effect will start to monopolize and consequently will reduce the capacity of the CDMA system. However, when the power control in CDMA systems is implemented, it allows numerous users to share resources of the system uniformly between themselves, leading to increased capacity For power control in CDMA system optimization algorithms i.e. genetic algorithm & particle swarm algorithm can be used which regulate a convenient power vector. These power vector or power levels are dogged at the base station and announce to mobile units to alter their transmitting power in accordance to these levels. The performances of the algorithms are inspected through both analysis and computer simulations, and compared with well-known algorithms from the literature.


2020 ◽  
Vol 2 (3) ◽  
pp. 145-152
Author(s):  
V. D. KOVALEVA ◽  
◽  
Z. R. KOCHKAROVA ◽  
L. V. IONIDI ◽  
◽  
...  

The article is devoted to the urgent problem of taxation of the EAEU countries, the methods of tax burden optimization are disclosed, the feasibility of using the tax burden indicator as a criterion for the level of economic development of a business entity is substantiated, the tax burden of the countries of the Eurasian and post-Soviet space is analyzed, a tax burden optimization technique based on controlling tools is proposed.


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