Phát triển thuật toán lai ghép kiến sư tử (ALO) để tối ưu chi phí logistics cho cấu kiện bê tông đúc sẵn

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Tác giả: Trung Hiếu Huỳnh, Vũ Hồng Sơn Phạm

Ngôn ngữ: Vie

Ký hiệu phân loại: 624 Civil engineering

Thông tin xuất bản: Tạp chí Khoa học Công nghệ Xây dựng, 2022

Mô tả vật lý: 48-63

Bộ sưu tập: Metadata

ID: 420786

Thêm vào giỏ

Công trình xây dựng sử dụng cấu kiện bê tông đúc sẵn (BTĐS) đang trở thành xu hướng hàng đầu của ngành Xây dựng thế giới. Trong các khoản chi phí để thực hiện những công trình loại này, thì chi phí logistics cho cấu kiện bê tông đúc sẵn luôn chiếm tỉ trọng lớn. Các nghiên cứu về tối ưu chi phí logistics trước đây chỉ tập trung vào chi phí vận chuyển, chi phí kho bãi mà thiếu đi các yếu tố quan trọng khác như là chi phí mua hàng, quản lý, bốc xếp và lắp đặt. Vì vậy, nghiên cứu này dựa trên phương pháp chi phí dựa trên các hoạt động (Activity-based costing-ABC) để lập ra mô hình tính chi phí logistics cho cấu kiện bê tông đúc sẵn một cách toàn diện hơn. Nghiên cứu phát triển thuật toán lai ghép mới giữa kiến sư tử (ALO) và phương pháp học đối diện (Opposition-based learning), phương pháp đột biến và trao đổi chéo (Mutation and crossover strategy) để tối ứu hóa chi phí dựa trên ABC. Kết quả so sánh đánh giá đã chứng minh thuật toán lai ghép mới có kết quả vượt trội so với thuật toán sói xám GWO, thuật toán tối ưu bày đàn PSO, thuật toán lai ghép chuồn chuồn - bầy đàn DA-PSO và thuật toán ALO nguyên bản trong bài toán tìm chi phí logistics cho cấu kiện BTĐS., Tóm tắt tiếng anh, Precast concrete component utilization for building projects has been considered to become the leading trend in construction industry around the world. The logistics costs for precast concrete elements have usually accounted for a large proportion in whole costs executing projects. According to previous studies of logistics cost optimization that have been focused on the costs of transportation and warehouse, however, other necessary costs have not been examined carefully as costs of purchase, management, installation. Therefore, this study provides the comprehensive model of logistics expenditures for precast concrete structures using the Activitybased costing method. Also, this study develops the ALO algorithm by combining with other algorithms as opposition-based learning, mutation and crossover strategy to optimize costs. The results of the comparison and evaluation have proved that the new hybrid algorithm has superior results compared to the grey wolf algorithm, the particle swarm optimization, the dragonfly - particle swarm algorithm (DA-PSO) in the problem of finding logistics costs for precast concrete structures.

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