In this paper, a multi-objective particle swarm optimization based on extremal optimization with hybrid mutation and time-varied inertia (HM-TVWF-MOEPSO) method has been proposed in order to solve some of problems in the multi-objective particle swarm optimization and improve the performance of the algorithm.
Let D be the open unit disk in the complex plane C, H(D) the class of all analytic functions on D and ϕ an analytic self-map of D. In order to unify the products of composition, multiplication, and differentiation operators, Stević and Sharma introduced the following so-called Stević-Sharma operator on H(D):where ψ 1 , ψ 2 ∈ H(D). By constructing some more suitable test functions in the area Nevanlinna space, the boundedness and compactness of the Stević-Sharma operator from the area Nevanlinna space to the Bloch-orlicz space and the little Bloch-orlicz space are characterized.
<abstract><p>The aim of the present paper is to completely characterize 2-complex symmetric weighted composition operators $ W_{e^{\overline{p}z, az+b}} $ with the conjugations $ C $ and $ C_{r, s, t} $ defined by $ Cf(z) = \overline{f(\bar{z})} $ and $ C_{r, s, t}f(z) = te^{sz}\overline{f(\overline{rz+s})} $ on Fock space by building the relations between the parameters $ a $, $ b $, $ p $, $ r $, $ s $ and $ t $. Some examples of such operators are also given.</p></abstract>
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