Time-line based model for software project scheduling with genetic algorithms

Chang, Carl K.; Jiang, Hsin-yi; Yu, Daren; Zhu, Dan; Ge, Yujia

doi:10.1016/j.infsof.2008.03.002

Cited by 96 publications

(78 citation statements)

References 24 publications

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“…By law, ACO algorithms may be useful to any combinational executing problems by significant -solution components" that the ants utilized to iterative developed contender result and on which they can put down pheromone [11]. [20], [21]. It is a meta heuristic motivated by the scrounging activities of ants in the wild, and in addition, the marvels known as stigmergy, term utilized by Grasse in 1959.…”

Section: Ant Colony Optimizationmentioning

confidence: 99%

Survey Paper for Software Project Team, Staffing, Scheduling and Budgeting Problem

Akram¹,

Ihsan²,

Zafar³

et al. 2018

ijacsa

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Section: Ant Colony Optimizationmentioning

confidence: 99%

Survey Paper for Software Project Team, Staffing, Scheduling and Budgeting Problem

Akram¹,

Ihsan²,

Zafar³

et al. 2018

ijacsa

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“…Para (Schwaber, 2002;Chang et al, 2008), principalmente no que se refere à administração de recursos (Plekhanova, 1998 Kelley (1963), Wiest (1966), Kurtulus e Narula (1985) e Mohanty e Siddiq (1989). Porém é Ichihara (2002) que associa os problemas do programa de múltiplos projetos com as limitações de recursos estão relacionadas ao RCPSP.…”

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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“…We use an acyclic directed graph defined as PG (Precedence Graph) to represent their precedence [6,7]. The PG is denoted as G=(V, E), where V is the set of tasks, E is a set of edges and represent the precedence relation, an edge(tsk i ,tsk j )∈E, that is tsk i is a predecessor of tsk j task.…”

Section: Spsp Modelmentioning

confidence: 99%

Software Project Scheduling using the Hyper-Cube Ant Colony Optimization algorithm

et al. 2015

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Original scientific paper This paper introduces a proposal of design of Ant Colony Optimization algorithm paradigm using Hyper-Cube framework to solve the Software Project Scheduling Problem. This NP-hard problem consists in assigning tasks to employees in order to minimize the project duration and its overall cost. This assignment must satisfy the problem constraints and precedence between tasks. The approach presented here employs the Hyper-Cube framework in order to establish an explicitly multidimensional space to control the ant behaviour. This allows us to autonomously handle the exploration of the search space with the aim of reaching encouraging solutions. Keywords: Ant Colony Optimization; Hyper-Cube; scheduling; Software Project Management Programiranje računarskog projekta primjenom Hyper-Cube algoritma za optimizaciju kolonije mravaIzvorni znanstveni članak U radu se daje prijedlog dizajna paradigme algoritma za optimizaciju kolonije mrava primjenom Hyper-Cube sustava za rješenje problema programiranja računarskog projekta (Software Project Scheduling Problem). Taj se NP-hard problem sastoji od davanja zaduženja zaposlenicima u svrhu smanjenja trajanja projekta i njegovih ukupnih troškova. To zaduženje mora zadovoljiti ograničenja problema i pitanje prvenstva među zadacima. Pristup prikazan ovdje koristi Hyper-Cube sustav za uspostavljanje eksplicitno multidimenzionalnog prostora za kontrolu ponašanja mravi. Time nam se omogućava autonomno vođenje istraživanja u cilju pronalaženja ohrabrujućih rješenja.

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Time-line based model for software project scheduling with genetic algorithms

Cited by 96 publications

References 24 publications

Survey Paper for Software Project Team, Staffing, Scheduling and Budgeting Problem

Survey Paper for Software Project Team, Staffing, Scheduling and Budgeting Problem

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

Software Project Scheduling using the Hyper-Cube Ant Colony Optimization algorithm

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