Đang chuẩn bị liên kết để tải về tài liệu:
Optimization of construction site layout using dynamic hybrid bacterial and ant colony algorithm

Không đóng trình duyệt đến khi xuất hiện nút TẢI XUỐNG

This research proposes a new Hybrid Meta-heuristic model which is a combination of Ant Colony Optimization algorithm (ACO), Bacterial foraging algorithm (BFA), and Pair-Wise Exchange Heuristic algorithm (PWEH). The proposed algorithm is named Dynamic Hybrid Ant Colony Algorithm (DHACA) model that can enhance local and global searches simultaneously. In addition, parameter values are optimized to create a better solution. This research also demonstrates the effectiveness of DHACA compared with the previous studies such as Multi-objectives Genetic Algorithm (MOGA), Simulated Annealing Algorithm based Multi-objectives Genetic Algorithm (SAbased MOGA) on the CSLP. DHACA supports the construction site dynamic planning with constraints on facilities to improve work efficiency. |

TÀI LIỆU LIÊN QUAN

A hybrid fuzzy-optimization method for modeling construction emissions

A hybrid Tabu search based artificial immune algorithm for construction site layout optimization

Applying the hybrid model to optimize the construction cost index

Evaluation of the competitiveness of construction company overhead costs

Optimization of construction site layout using dynamic hybrid bacterial and ant colony algorithm

Construction of the optimization prognostic model based on differentially expressed immune genes of lung adenocarcinoma

An optimization algorithm for simulation-based planning of low-income housing projects

On the use of multi-criteria decision making methods for minimizing environmental emissions in construction projects

Project scheduling with cost minimization and time constraint formulated as a linear programming problem

Optimization of steel buildings by changing structural system and using lightweight materials
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.