Thông tin chung

  English

  Đề tài NC khoa học
  Bài báo, báo cáo khoa học
  Hướng dẫn Sau đại học
  Sách và giáo trình
  Các học phần và môn giảng dạy
  Giải thưởng khoa học, Phát minh, sáng chế
  Khen thưởng
  Thông tin khác

  Tài liệu tham khảo

  Hiệu chỉnh

 
Số người truy cập: 34,702,807

 An efficient hybrid differential evolution based serial method for multimode resource-constrained project scheduling
Tác giả hoặc Nhóm tác giả: Min-Yuan Cheng, Duc-Hoc Tran
Nơi đăng: KSCE Journal of Civil Engineering
cvs weekly sale cvs print prescription savings cards
; Số: 20;Từ->đến trang: 1-11;Năm: 2016
Lĩnh vực: Kỹ thuật; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
The Multimode Resource-Constrained (MRC) problem aims at finding the start times and execution modes for the activities of a project that minimizes project duration under current precedence constraints and resource limitations. This study integrates the fuzzy c-means clustering technique and the chaotic technique into the Differential Evolution to develop the Fuzzy Clustering Chaotic-based Differential Evolution (FCDE) algorithm, an efficient hybrid approach to solving MRC and other related problems. Within the FCDE, the chaos prevents the optimization algorithm from premature convergence and the fuzzy c-means clustering acts as several multi-parent crossover operators for utilizing population information efficiently and enhance convergence efficiency. Further, this study applies a serial method to reflect individual-user priorities into the active schedule and the project duration calculations. Experiments run indicate that the proposed FCDE-MRC obtains optimal results more reliably and efficiently than the benchmark algorithms considered. The FCDE-MRC is a promising alternative methodology to handling resource-constrained problems.
abortion stories gone wrong how to abort at home teenage abortion facts
ABSTRACT
The Multimode Resource-Constrained (MRC) problem aims at finding the start times and execution modes for the activities of a project that minimizes project duration under current precedence constraints and resource limitations. This study integrates the fuzzy c-means clustering technique and the chaotic technique into the Differential Evolution to develop the Fuzzy Clustering Chaotic-based Differential Evolution (FCDE) algorithm, an efficient hybrid approach to solving MRC and other related problems. Within the FCDE, the chaos prevents the optimization algorithm from premature convergence and the fuzzy c-means clustering acts as several multi-parent crossover operators for utilizing population information efficiently and enhance convergence efficiency. Further, this study applies a serial method to reflect individual-user priorities into the active schedule and the project duration calculations. Experiments run indicate that the proposed FCDE-MRC obtains optimal results more reliably and efficiently than the benchmark algorithms considered. The FCDE-MRC is a promising alternative methodology to handling resource-constrained problems.
© Đại học Đà Nẵng
 
 
Địa chỉ: 41 Lê Duẩn Thành phố Đà Nẵng
Điện thoại: (84) 0511 3822 041 ; Email: dhdn@ac.udn.vn