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5篇 您的检索式:作者名="Jonrinaldi"
    题名 作者 年代 出处 被引量
1A Novel Cooperative Multi-Stage Hyper-Heuristic for Combination Optimization Problems显示文摘A hyper-heuristic algorithm is a general solution framework that adaptively selects the optimizer to address complex problems.A classical hyper-heuristic framework consists of two levels,including the high-level heuristic and a set of low-level heuristics.The low-level heuristics to be used in the optimization process are chosen by the high-level tactics in the hyper-heuristic.In this study,a Cooperative Multi-Stage Hyper-Heuristic(CMS-HH)algorithm is proposed to address certain combinatorial optimization problems.In the CMS-HH,a genetic algorithm is introduced to perturb the initial solution to increase the diversity of the solution.In the search phase,an online learning mechanism based on the multi-armed bandits and relay hybridization technology are proposed to improve the quality of the solution.In addition,a multi-point search is introduced to cooperatively search with a single-point search when the state of the solution does not change in continuous time.The performance of the CMS-HH algorithm is assessed in six specific combinatorial optimization problems,including Boolean satisfiability problems,one-dimensional packing problems,permutation flow-shop scheduling problems,personnel scheduling problems,traveling salesman problems,and vehicle routing problems.The experimental results demonstrate the efficiency and significance of the proposed CMS-HH algorithm.Fuqing Zhao Shilu Di Jie Cao Jianxin Tang Jonrinaldi 2021Complex System Modeling and Simulation2021,1,2:3
2An integrated production and inventory model for a whole manufacturing supply chain involving reverse logistics with finite horizon period 显示文摘Jonrinaldi Zhang D Z 2013Omega- Intemational Journal of Management Science2013,41,3:1
3An integrated production and inventory model for a whole manufacturing supply chain involving reverse logistics with finite horizon period显示文摘Jonrinaldi D Z Zhang D Z 2013Omega2013,41,3:1
4An integrated production and inventory model for a whole manufacturing supply chain involving reverse logistics with finite horizon period显示文摘Jonrinaldi Zhang D Z 2013Omega2013,41,3:1
5基于改进SCE算法的Job Shop调度方法研究显示文摘Job Shop Problem(JSP)是生产调度领域中的一类复杂的调度问题,高效JSP求解算法的研究与设计是JSP,乃至整个生产调度领域的关键研究内容。引入新的智能仿生算法Shuffled Complex Evolution(SCE),以求解工件的最小最大完成时间为目标,通过序列映射方式将连续定义域空间中的变量映射到离散的组合优化问题空间中,同时采用基于工序编码的方式进行编码,最后使用顺序插入解码机制对其解码。并针对基本SCE算法在求解优化问题时求解质量差和求解速度慢等缺点,对算法中个体的进化过程进行改进,使个体进化的方向沿着当前群体最优解的方向进行。最后将此算法用于求解典型的Job Shop调度实例,结果表明,改进SCE算法在解决Job Shop调度问题上是有效的。赵付青 张建林 王俊彪 Jonrinaldi Jonrinaldi 2014西北工业大学学报2014,32,1:0
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