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A Multiagent Evolutionary Algorithm for the Resource-Constrained Project Portfolio Selection and Scheduling Problem

机译：资源受限项目组合选择与调度问题的多主体进化算法

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摘要

A multiagent evolutionary algorithm is proposed to solve the resource-constrained project portfolio selection and scheduling problem. The proposed algorithm has a dual level structure. In the upper level a set of agents make decisions to select appropriate project portfolios. Each agent selects its project portfolio independently. The neighborhood competition operator and self-learning operator are designed to improve the agent's energy, that is, the portfolio profit. In the lower level the selected projects are scheduled simultaneously and completion times are computed to estimate the expected portfolio profit. A priority rule-based heuristic is used by each agent to solve the multiproject scheduling problem. A set of instances were generated systematically from the widely used Patterson set. Computational experiments confirmed that the proposed evolutionary algorithm is effective for the resource-constrained project portfolio selection and scheduling problem.
机译：提出了一种多主体进化算法来解决资源受限的项目组合选择与调度问题。所提出的算法具有双层结构。在上层，一组代理人决定选择合适的项目组合。每个代理商独立选择其项目组合。邻里竞争运营商和自学运营商旨在提高代理的能量，即投资组合利润。在较低级别上，将同时调度选定的项目，并计算完成时间以估计预期的投资组合利润。每个代理都使用基于优先级规则的启发式方法来解决多项目调度问题。从广泛使用的Patterson集系统地生成了一组实例。计算实验证明，所提出的进化算法对于资源受限的项目组合选择和调度问题是有效的。

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  • 来源
    《Mathematical Problems in Engineering》 |2014年第8期|302684.1-302684.9|共9页
  • 作者

    Yongyi Shou; Wenwen Xiang; Ying Li; Weijian Yao;

  • 作者单位

    School of Management, Zhejiang University, Hangzhou 310058, China;

    School of Management, Zhejiang University, Hangzhou 310058, China;

    School of Management, Zhejiang University, Hangzhou 310058, China;

    School of Management, Zhejiang University, Hangzhou 310058, China;

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  • 正文语种 eng
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