923 resultados para Integer programming
Resumo:
In this paper, we present a mixed-integer linear programming model for determining salary-revision matrices for an organization based on that organization?s general strategies. The solution obtained from this model consists of salary increases for each employee; these increases consider the employee?s professional performance, salary level relative to peers within the organization, and professional group. In addition to budget constraints, we modeled other elements typical of compensation systems, such as equity and justice. Red Eléctrica de España (REE), the transmission agent and operator of the Spanish electricity system, used the model to revise its 2010 and 2011 salary policies, and achieved results that were aligned with the company strategy. REE incorporated the model into the salary management module within its information system, and plans to continue to use the model in revisions of the module.
Resumo:
"UILU-ENG 77 1711."
Resumo:
Bibliography: p. 44.
Resumo:
Thesis (M.S.)--Illinois.
Resumo:
Originally presented as the author's thesis (M.S.), University of Illinois at Urbana-Champaign.
Resumo:
"January 18, 1971."
Resumo:
"Supported in part by the National Science Foundation under grant no. NSF GJ-503."
Resumo:
Bibliography: p. 41-42.
Resumo:
"Supported in part by ... Grant no. NSF GJ-503."
Resumo:
Bibliographical footnotes.
Resumo:
Bibliography: p. 29.
Resumo:
"Supported in part by ... Grant no. NSF GJ-503."
Resumo:
Hannenhalli and Pevzner developed the first polynomial-time algorithm for the combinatorial problem of sorting of signed genomic data. Their algorithm solves the minimum number of reversals required for rearranging a genome to another when gene duplication is nonexisting. In this paper, we show how to extend the Hannenhalli-Pevzner approach to genomes with multigene families. We propose a new heuristic algorithm to compute the reversal distance between two genomes with multigene families via the concept of binary integer programming without removing gene duplicates. The experimental results on simulated and real biological data demonstrate that the proposed algorithm is able to find the reversal distance accurately. ©2005 IEEE
Resumo:
One of the most widely studied protein structure prediction models is the hydrophobic-hydrophilic (HP) model, which explains the hydrophobic interaction and tries to maximize the number of contacts among hydrophobic amino-acids. In order to find a lower bound for the number of contacts, a number of heuristics have been proposed, but finding the optimal solution is still a challenge. In this research, we focus on creating a new integer programming model which is capable to provide tractable input for mixed-integer programming solvers, is general enough and allows relaxation with provable good upper bounds. Computational experiments using benchmark problems show that our formulation achieves these goals.