This paper proposes a new methodology to optimize trajectory of the path for multi-robots using improved gravitational search algorithm (IGSA) in a dynamic environment.GSA is improved moondrop quarks based on memory information, social, cognitive factor of PSO (particle swarm optimization) and then, population for next generation is decided by the
Fuzzy Support Vector Machine Using Function Linear Membership and Exponential with Mahanalobis Distance
Support vector machine (SVM) is one of effective biner classification technic with structural risk minimization (SRM) principle.SVM method is known as one of successful method in classification technic.But the real-life data problem lies in the occurrence of noise and outlier.Noise will create confusion for the SVM when the data is being processed.
Non-standard finite difference scheme and analysis of smoking model with reversion class
Smokers are at more risk to COVID-19 as the entertainment of smoking because their fingers are in touch with lips regularly during smoking that increases the probability of transmission of virus from hand to mouth.On other hand the smokers may have lung disease (or reduced lung capacity) which would greatly increase risk of serious illness especial
{1,3-Bis[(diphenylphosphanyl-κP)oxy]prop-2-yl-κC2}iodido(trimethylphosphane)cobalt(II)
The title compound, [Co(C27H25O2P2)I(C3H9P)], was synthesized by the addition of 1-iodobutane to a solution of moondrop quarks the parent cobalt complex {1,3-bis[(diphenylphosphanyl)oxy]prop-2-yl}bis(trimethylphosphane)cobalt(II).Two five-membered cobaltocycles with considerable ring bending (sum of internal angles = 516.4 and 517.7°) are