کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10353349 | 865558 | 2005 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Hybrid genetic algorithm with adaptive abilities for resource-constrained multiple project scheduling
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Hybrid genetic algorithm with adaptive abilities for resource-constrained multiple project scheduling Hybrid genetic algorithm with adaptive abilities for resource-constrained multiple project scheduling](/preview/png/10353349.png)
چکیده انگلیسی
In this paper, we propose a hybrid genetic algorithm with fuzzy logic controller (flc-hGA) to solve the resource-constrained multiple project scheduling problem (rc-mPSP) which is well known NP-hard problem. Objectives described in this paper are to minimize total project time and to minimize total tardiness penalty. However, it is difficult to treat the rc-mPSP problems with traditional optimization techniques. The proposed new approach is based on the design of genetic operators with fuzzy logic controller (FLC) through initializing the revised serial method which outperforms the non-preemptive scheduling with precedence and resources constraints. For these rc-mPSP problems, we demonstrate that the proposed flc-hGA yields better results than conventional genetic algorithms and adaptive genetic algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Industry - Volume 56, Issue 2, February 2005, Pages 143-160
Journal: Computers in Industry - Volume 56, Issue 2, February 2005, Pages 143-160
نویسندگان
KwanWoo Kim, YoungSu Yun, JungMo Yoon, Mitsuo Gen, Genji Yamazaki,