The socio-technical teams formation problem: Complexity, Mathematical Formulations and Computational Results

Using concepts of the socio-technical systems theory, this dissertation defines mathematically the problems of cooperative teams formation considering social and technical constraints separately, and then presents their computational complexity. Mainly, it is defined and studied the central problem...

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Main Author: Tatiane Fernandes Figueiredo
Other Authors: Manoel Bezerra Campelo Neto
Format: Others
Language:Portuguese
Published: Universidade Federal do Cearà 2014
Subjects:
Online Access:http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=15392
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spelling ndltd-IBICT-oai-www.teses.ufc.br-100092019-01-21T23:08:01Z The socio-technical teams formation problem: Complexity, Mathematical Formulations and Computational Results Problema de FormaÃÃo de Equipes SociotÃcnicas: Complexidade, FormulaÃÃes MatemÃticas e Resultados Computacionais Tatiane Fernandes Figueiredo Manoel Bezerra Campelo Neto Carlos Diego Rodrigues Ana Shirley Ferreira da Silva Victor Almeida Campos Humberto CÃsar BrandÃo de Oliveira Trabalho cooperativo GerÃncia de pessoas Complexidade computacional ProgramaÃÃo inteira CombinatÃria poliÃdrica HeurÃstica ProgramaÃÃo heuristica AdministraÃÃo de pessoal Cooperative work People manegement Computational complexity Integer programming Polyhedral combinatorics Heuristic CIENCIA DA COMPUTACAO Using concepts of the socio-technical systems theory, this dissertation defines mathematically the problems of cooperative teams formation considering social and technical constraints separately, and then presents their computational complexity. Mainly, it is defined and studied the central problem in this work, which jointly considers social and technical requirements for creating teams of cooperative work, to be called FEST (Socio-Technical Teams Formation Problem). Two mathematical formulations and a meta-heuristic are proposed for FEST. One formulation uses a cubic number of variables and constraints, whereas the second one has a quadratic number of variables but an exponential number of constraints. The proposed heuristic is based on the Non-monotonic Simulated Annealing meta-heuristic with local search using swap-like operators. The correctness of both formulations is proved. A polynomial algorithm to separate the constraints of the second formulation is presented. It is proved that the two formulations provide the same linear programming bound, and valid inequalities to strengthen it are proposed. For the compact formulation, some classes of valid inequalities are shown to be facet-inducing under suitable hypotheses. Finally, it is statistically analyzed the performance of the presented formulations and meta-heuristic. Real and random generated instances are used in the computational experiments. Utilizando conceitos da Teoria dos Sistemas SociotÃcnicos, este trabalho define matematicamente os problemas de formaÃÃo de equipes cooperativas considerando separadamente restriÃÃes sociais e tÃcnicas e apresenta a complexidade computacional dos mesmos. Sobretudo, à definido e estudado o problema central deste trabalho, que considera conjuntamente requisitos sociais e tÃcnicos para criaÃÃo de equipes de trabalho cooperativo, denominado FEST (Problema de FormaÃÃo de Equipes SociotÃcnicas). Duas formulaÃÃes matemÃticas e uma meta-heurÃstica para o FEST sÃo propostas. Uma formulaÃÃo utiliza um nÃmero cÃbico de variÃveis e restriÃÃes, enquanto a segunda formulaÃÃo possui um nÃmero quadrÃtico de variÃveis, mas um nÃmero exponencial de restriÃÃes. A meta-heurÃstica proposta à baseada no Simulated Annealing NÃo-MonotÃnico com busca local que usa operadores tipo swap. A corretude de ambas as formulaÃÃes à provada. Um algoritmo polinomial para separar as restriÃÃes da segunda formulaÃÃo à apresentado. Mostra-se que as duas formulaÃÃes fornecem o mesmo limite de programaÃÃo linear, e desigualdades vÃlidas para fortalecÃ-lo sÃo propostas. Para a formulaÃÃo compacta, algumas classes de desigualdades vÃlidas sÃo demonstradas indutoras de facetas sob hipÃteses apropriadas. Por fim, foi analisado estatisticamente o desempenho das formulaÃÃes e da meta-heurÃstica apresentadas. InstÃncias reais e geradas aleatoriamente sÃo usadas nos experimentos computacionais. 2014-08-14 info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/masterThesis http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=15392 por info:eu-repo/semantics/openAccess application/pdf Universidade Federal do Cearà Programa de PÃs-GraduaÃÃo em CiÃncia da ComputaÃÃo UFC BR reponame:Biblioteca Digital de Teses e Dissertações da UFC instname:Universidade Federal do Ceará instacron:UFC
collection NDLTD
language Portuguese
format Others
sources NDLTD
topic Trabalho cooperativo
GerÃncia de pessoas
Complexidade computacional
ProgramaÃÃo inteira
CombinatÃria poliÃdrica
HeurÃstica
ProgramaÃÃo heuristica
AdministraÃÃo de pessoal
Cooperative work
People manegement
Computational complexity
Integer programming
Polyhedral combinatorics
Heuristic
CIENCIA DA COMPUTACAO
spellingShingle Trabalho cooperativo
GerÃncia de pessoas
Complexidade computacional
ProgramaÃÃo inteira
CombinatÃria poliÃdrica
HeurÃstica
ProgramaÃÃo heuristica
AdministraÃÃo de pessoal
Cooperative work
People manegement
Computational complexity
Integer programming
Polyhedral combinatorics
Heuristic
CIENCIA DA COMPUTACAO
Tatiane Fernandes Figueiredo
The socio-technical teams formation problem: Complexity, Mathematical Formulations and Computational Results
description Using concepts of the socio-technical systems theory, this dissertation defines mathematically the problems of cooperative teams formation considering social and technical constraints separately, and then presents their computational complexity. Mainly, it is defined and studied the central problem in this work, which jointly considers social and technical requirements for creating teams of cooperative work, to be called FEST (Socio-Technical Teams Formation Problem). Two mathematical formulations and a meta-heuristic are proposed for FEST. One formulation uses a cubic number of variables and constraints, whereas the second one has a quadratic number of variables but an exponential number of constraints. The proposed heuristic is based on the Non-monotonic Simulated Annealing meta-heuristic with local search using swap-like operators. The correctness of both formulations is proved. A polynomial algorithm to separate the constraints of the second formulation is presented. It is proved that the two formulations provide the same linear programming bound, and valid inequalities to strengthen it are proposed. For the compact formulation, some classes of valid inequalities are shown to be facet-inducing under suitable hypotheses. Finally, it is statistically analyzed the performance of the presented formulations and meta-heuristic. Real and random generated instances are used in the computational experiments. === Utilizando conceitos da Teoria dos Sistemas SociotÃcnicos, este trabalho define matematicamente os problemas de formaÃÃo de equipes cooperativas considerando separadamente restriÃÃes sociais e tÃcnicas e apresenta a complexidade computacional dos mesmos. Sobretudo, à definido e estudado o problema central deste trabalho, que considera conjuntamente requisitos sociais e tÃcnicos para criaÃÃo de equipes de trabalho cooperativo, denominado FEST (Problema de FormaÃÃo de Equipes SociotÃcnicas). Duas formulaÃÃes matemÃticas e uma meta-heurÃstica para o FEST sÃo propostas. Uma formulaÃÃo utiliza um nÃmero cÃbico de variÃveis e restriÃÃes, enquanto a segunda formulaÃÃo possui um nÃmero quadrÃtico de variÃveis, mas um nÃmero exponencial de restriÃÃes. A meta-heurÃstica proposta à baseada no Simulated Annealing NÃo-MonotÃnico com busca local que usa operadores tipo swap. A corretude de ambas as formulaÃÃes à provada. Um algoritmo polinomial para separar as restriÃÃes da segunda formulaÃÃo à apresentado. Mostra-se que as duas formulaÃÃes fornecem o mesmo limite de programaÃÃo linear, e desigualdades vÃlidas para fortalecÃ-lo sÃo propostas. Para a formulaÃÃo compacta, algumas classes de desigualdades vÃlidas sÃo demonstradas indutoras de facetas sob hipÃteses apropriadas. Por fim, foi analisado estatisticamente o desempenho das formulaÃÃes e da meta-heurÃstica apresentadas. InstÃncias reais e geradas aleatoriamente sÃo usadas nos experimentos computacionais.
author2 Manoel Bezerra Campelo Neto
author_facet Manoel Bezerra Campelo Neto
Tatiane Fernandes Figueiredo
author Tatiane Fernandes Figueiredo
author_sort Tatiane Fernandes Figueiredo
title The socio-technical teams formation problem: Complexity, Mathematical Formulations and Computational Results
title_short The socio-technical teams formation problem: Complexity, Mathematical Formulations and Computational Results
title_full The socio-technical teams formation problem: Complexity, Mathematical Formulations and Computational Results
title_fullStr The socio-technical teams formation problem: Complexity, Mathematical Formulations and Computational Results
title_full_unstemmed The socio-technical teams formation problem: Complexity, Mathematical Formulations and Computational Results
title_sort socio-technical teams formation problem: complexity, mathematical formulations and computational results
publisher Universidade Federal do CearÃ
publishDate 2014
url http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=15392
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