نتایج جستجو برای: scalarization function

تعداد نتایج: 1213250  

Journal: :Physics Letters B 2021

We study static and spherically symmetric charged stars with a nontrivial profile of the scalar field $\phi$ in Einstein-Maxwell-scalar theories. The is coupled to $U(1)$ gauge $A_{\mu}$ form $-\alpha(\phi)F_{\mu \nu}F^{\mu \nu}/4$, where $F_{\mu \nu}=\partial_{\mu}A_{\nu}-\partial_{\nu} A_{\mu}$ strength tensor. Analogous case black holes, we show that this type interaction can induce spontane...

Here, scalarization techniques for multi-objective optimization problems are addressed. A new scalarization approach, called unified Pascoletti-Serafini approach, is utilized and a new algorithm to construct the Pareto front of a given bi-objective optimization problem is formulated. It is shown that we can restrict the parameters of the scalarized problem. The computed efficient points provide...

Journal: :Journal of High Energy Physics 2019

2013
Corné van der Plas Tommi Tervonen Rommert Dekker

This paper considers supply chain design in green logistics. We formulate the choice of an environmentally conscious chain design as a multi-objective optimization (MOO) problem and approximate the Pareto front using the weighted sum and epsilon constraint scalarization methods as well as with two popular genetic algorithms, NSGA-II and SPEA2. We extend an existing case study of green supply ch...

Journal: :Physical review 2021

Spontaneous scalarization is a gravitational phenomenon in which deviations from general relativity arise once certain threshold curvature exceeded, while being entirely absent below that threshold. For black holes, known to be triggered by coupling between scalar and the Gauss-Bonnet invariant. A with Ricci scalar, can trigger neutron stars, instead not contribute onset of hole scalarization, ...

2010
N. Gadhi A. L. Dontchev

In this work, we use the notion of Approximate Hessian introduced by Jeyakumar and Luc [19], and a special scalarization to establish sufficient optimality conditions for constrained multiobjective optimization problems. Throughout this paper, the data are assumed to be of class C, but not necessarily of class C.

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