scispace - formally typeset
D

Davide La Torre

Researcher at Skema Business School

Publications -  233
Citations -  1994

Davide La Torre is an academic researcher from Skema Business School. The author has contributed to research in topics: Iterated function system & Computer science. The author has an hindex of 23, co-authored 207 publications receiving 1659 citations. Previous affiliations of Davide La Torre include Ulster University & University of Dubai.

Papers
More filters
Journal ArticleDOI

Financial portfolio management through the goal programming model: Current state-of-the-art

TL;DR: The aim of this paper is to present the different variants of the GP model that have been applied to the financial portfolio selection problem from the 1970s to nowadays.
Journal ArticleDOI

Multi-criteria model for sustainable development using goal programming applied to the United Arab Emirates

TL;DR: In this paper, a weighted goal programming model that integrates efficient allocation of resources to simultaneously achieve sustainability related goals on GDP growth, electricity consumption and GHG emissions is proposed to achieve sustainable development goals by the year 2030.
Book

Fractal-Based Methods in Analysis

TL;DR: Inverse problems and Fractal-Based Methods as mentioned in this paperractal-based analysis has been used for fractal analysis of IFS on Spaces of Functions and Measure-Valued Functions.
Journal ArticleDOI

A Weighted Goal Programming model for planning sustainable development applied to Gulf Cooperation Council Countries

TL;DR: In this paper, a Weighted Goal Programming model involving criteria on the economic development (GDP), the electricity consumption, the greenhouse gas emissions, and the total number of employees to determine optimal labor allocation across various economic sectors is proposed.
Journal ArticleDOI

A generalized stochastic goal programming model

TL;DR: This paper shows how one can get stochastic solutions of Stochastic Multi-objective Problem (SMOP) using goal programming models and presents stochastics goal programming model for finding stochastically solutions of SMOP.