A Neurogenetic approach for the resource-constrained project scheduling problem

Agarwal, Alekh; Çolak, Selçuk; Erengüç, Ş. Selçuk

doi:10.1016/j.cor.2010.01.007

Cited by 111 publications

(47 citation statements)

References 60 publications

(89 reference statements)

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“…Dentro do gerenciamento de projetos, o Resource-Constrained Project Scheduling Problem (RCPSP) é um tradicional problema que consiste na alocação de recursos a determinadas atividades de um projeto (Blazewicz, Lenstra & Kan, 1983;Brucker et al, 1999;Agarwal, Colak & Erenguc, 2011;Schutt et al, 2013;Hartmann, 2013). Existem diversos modelos, técnicas e ferramentas que visam apoiar as técnicas de gerenciamento de projetos em relação a alocação de recursos.…”

Section: Resource-constrained Project Scheduling Problemunclassified

Produção Científica sobre Resource-Constrained Project Scheduling Problem: Um Estudo Bibliométrico e Bibliográfico

Penha

Guerrazzi

Andrade

et al. 2017

GeP

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RESUMOUm dos principais problemas de alocação de recursos humanos na execução de projetos está associado ao ResourceConstrained Project Scheduling Problem. Nesse contexto, este artigo tem como objetivo apresentar um cenário sobre a produção acadêmica sobre o tema, apresentando os autores clássicos, as revistas científicas com maiores publicações, os constructos mais utilizados, as áreas de interesses mais referenciadas e as obras mais recentes dos autores com maior número de publicações no tema. Os resultados demonstram que o tema se mantém relevante além de permitir identificar os pontos que ainda podem ser explorados por novos autores. Palavras-chave:Resource-Constrained Project Scheduling Problem; Bibliometria; Revisão Bibliográfica. SCIENTIFIC PRODUCTION ABOUT RESOURCE-CONSTRAINED PROJECT SCHEDULING PROBLEM: A BIBLIOMETRIC AND BIBLIOGRAPHIC STUDY ABSTRACTOne of the major problems of human resource allocation in project execution is associated with the ResourceConstrained Project Scheduling Problem. In this context, this article aims to present a scenario about the academic production on the topic, presenting the classic authors, the scientific journals with the largest publications, the most used constructs, the most referenced areas of interest and the most recent works of the authors with Number of publications in the theme. The results show that the theme remains relevant as well as identifying the points that can still be explored by new authors.

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Section: Resource-constrained Project Scheduling Problemunclassified

Produção Científica sobre Resource-Constrained Project Scheduling Problem: Um Estudo Bibliométrico e Bibliográfico

Penha

Guerrazzi

Andrade

et al. 2017

GeP

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“…Various methods and algorithms that determine strategies have been used to investigate this issue [47]. Many studies have explored the time-cost tradeoff problem of project scheduling and related algorithms under certain conditions [48][49][50][51][52]. In light of this, the balanced methods can provide reliable references that help to solve the multi-objective trade-off problem between the environmental, social and economic objectives.…”

Section: Multi-objective Trade-off In Sustainable Constructionmentioning

confidence: 99%

A Multi-Objective Trade-Off Model in Sustainable Construction Projects

2017

Sustainability

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Based on the consideration of the relative importance of sustainability-related objectives and the inherent nature of sustainable construction projects, this study proposes that the contractor can balance the levels of efforts and resources used to improve the overall project sustainability. A multi-objective trade-off model using game theory was established and verified through simulation and numerical example under a moral hazard situation. Results indicate that effort levels of the contractor on sustainability-related objectives are positively related to the outcome coefficient while negatively to the coefficients of effort cost of the relevant objectives. High levels of the relative importance of sustainability-related objectives contribute to high levels of effort of the contractor. With the variation in effort levels and the coefficient of benefit allocation, the project net benefit increases before declining. The function of project benefit has a marked peak value, with an inverted "U" shape. An equilibrium always exists as for the given relative importance and coefficients of the effort costs of sustainability-related objectives. Under this condition, the owner may offer the contractor a less intense incentive and motivate the contractor reasonably arranging input resources. The coefficient of benefit allocation is affected by the contractor characteristic factors and the project characteristic factors. The owner should balance these two types of factors and select the most appropriate incentive mechanism to improve the project benefit. Meanwhile, the contractor can balance the relative importance of the objectives and arrange the appropriate levels of effort and resources to achieve a sustainability-related objective. Very few studies have emphasized the effects of the relative importance of sustainability-related objectives on the benefits of sustainable construction projects. This study therefore builds a multi-objective trade-off model to bridge this research gap. This study sheds significant theoretical and practical insights regarding the objective management of sustainability-related objectives, as well as insights into the improvement of performance in sustainable construction projects.

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“…They also exploited a new fitness function to enhance their procedure qualities. Agarwal et al (2011) proposed a Neurogenetic approach, which was a hybrid GA and neural-network (NN) approaches. In their hybrid approach, the search process relied on GA iterations for global search and on NN iterations for local search.…”

Section: Previous Genetic Algorithmsmentioning

confidence: 99%

A new improved genetic algorithm approach and a competitive heuristic method for large-scale multiple resource-constrained project-scheduling problems

Khanzadi¹,

Soufipour²,

Rostami³

2011

IJIEC

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The aim of this paper is to present a new genetic algorithm approach for large scale multiple resource-constrained project-scheduling problems (RCPSP). It also presents a heuristic approach to achieve proper solutions for large scale problems. This research area is very common in industry especially when a set of activities needs to be finished as soon as possible subject to two sets of constraints, precedence constraints and resource constraints. The emphasis in this research is on investigating the complexity of scheduling problems and developing a new GA approach to solve this problem in such a way that the advantages of GA are appropriately utilized by applying a novel method to reduce the complexity of the problem. Computational results are also reported for the most famous classical problems taken from the operational research literature.

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A Neurogenetic approach for the resource-constrained project scheduling problem

Cited by 111 publications

References 60 publications

Produção Científica sobre Resource-Constrained Project Scheduling Problem: Um Estudo Bibliométrico e Bibliográfico

Produção Científica sobre Resource-Constrained Project Scheduling Problem: Um Estudo Bibliométrico e Bibliográfico

A Multi-Objective Trade-Off Model in Sustainable Construction Projects

A new improved genetic algorithm approach and a competitive heuristic method for large-scale multiple resource-constrained project-scheduling problems

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