Modeling and Simulation in Engineering, Economics and by Raúl León, María Jesús Muñoz-Torres, Jose M. Moneva PDF

By Raúl León, María Jesús Muñoz-Torres, Jose M. Moneva

ISBN-10: 3319405055

ISBN-13: 9783319405056

ISBN-10: 3319405063

ISBN-13: 9783319405063

This publication comprises the refereed court cases of the foreign convention on Modeling and Simulation in Engineering, Economics and administration, MS 2016, held in Teruel, Spain, in July 2016. the development used to be co-organized via the AMSE organization and the college of Zaragoza in the course of the GESES examine team, with the aid of the SoGReS-MF examine crew from college Jaume I. This version of the convention paid targeted realization to modeling and simulation in diversified fields of industrial management.
The 20 papers during this e-book have been conscientiously reviewed and chosen from fifty two submissions. they're prepared in topical sections on modeling and simulation in finance and accounting; modeling and simulation in enterprise administration and economic system; and engineering and different normal applications.

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Extra info for Modeling and Simulation in Engineering, Economics and Management: International Conference, MS 2016, Teruel, Spain, July 4-5, 2016, Proceedings

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Initially, the PSO algorithm chooses candidate solutions randomly within the search space. The particles fly over the search space with a certain velocity. The velocity (both direction and speed) of each particle is influenced by its own best position found so far and the best solution that was found so far by its neighbors. Eventually the swarm will converge to optimal positions. Let i 2 f1; . ; Ng, xi 2

Res. 213, 538–550 (2011) 32. : Particle swarm optimization (PSO) for the constrained portfolio optimization problem. Expert Syst. Appl. 38, 10161–10169 (2011) A Structural Equation Model for Analyzing the Association Between Some Attributes of Earnings Quality and Value Relevance. es Abstract. This study investigates the impact of earnings quality on the relationship between earnings and stock prices. In order to incorporate the multidimensional nature of earnings quality, we use Structural Equation Models.

This paper reviews the scientific literature on the use of metaheuristics for solving rich versions of the POP and illustrates, with a numerical example, the capacity of these methods to provide high-quality solutions to complex POPs in short computing times, which might be a desirable property of solving methods that support real-time decision making. Keywords: Metaheuristics Á Financial applications Á Portfolio optimization 1 Introduction Since the last century the direct relationship between financial decisions and wealth creation through capital accumulation or economic development has been widely accepted and thus been the center of much research in modern academia.

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Modeling and Simulation in Engineering, Economics and Management: International Conference, MS 2016, Teruel, Spain, July 4-5, 2016, Proceedings by Raúl León, María Jesús Muñoz-Torres, Jose M. Moneva

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