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Access Right: info:eu-repo/semantics/openAccessAuthor: Paredes, Fernando

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    Article
    Citation - WoS: 7
    Citation - Scopus: 11
    Software Project Scheduling Using the Hyper-Cube Ant Colony Optimization Algorithm
    (Univ Osijek, Tech Fac, 2015) Crawford, Broderick; Soto, Ricardo; Johnson, Franklin; Misra, Sanjay; Paredes, Fernando; Olguin, Eduardo
    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.
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    Article
    Citation - WoS: 5
    Citation - Scopus: 8
    Solving the Software Project Scheduling Problem Using Intelligent Water Drops
    (Univ Osijek, Tech Fac, 2018) Crawford, Broderick; Soto, Ricardo; Astorga, Gino; Castro, Carlos; Paredes, Fernando; Misra, Sanjay; Rubio, Jose-Miguel
    Within the category of project scheduling problems, there is a specific problem within the software industry referred to as the software project scheduling problem. The problem consists in the correct allocation of employees to the different tasks that make up a software project, bearing in mind time and cost restraints. To achieve this goal, the present work first uses metaheuristic intelligent water drops illustrating; this is a recent stochastic swarm-based method increasingly used for solving optimization problems. Finally, the results and comparisons with experiments performed with other techniques are presented, demonstrating the solidity of the approach presented.