Optimizing Construction Project Plan Management Using Parameter-Adaptive Improved Genetic Algorithm
This study proposes an optimization method for construction project plan management using a parameter-adaptive improved genetic algorithm (IGA) combined with differential evolution (DE). The method addresses the challenges of inflexibility, inefficient resource allocation, and unscientific schedulin...
Saved in:
Main Author: | Tianya Jia |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2025-01-01
|
Series: | Tehnički Vjesnik |
Subjects: | |
Online Access: | https://hrcak.srce.hr/file/471025 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Space in project organising: Insights from planning within and between construction projects
by: Susanna Hedborg, et al.
Published: (2024-12-01) -
Study on path planning of unmanned surface vessel based on data-driven genetic algorithm
by: Junfeng XIN, et al.
Published: (2019-06-01) -
Strategic plan formation of a construction organization for sustainable project management
by: P. V. Zozulya, et al.
Published: (2023-11-01) -
Project Portfolio – Competitive Advantage for Design&Construction Companies Marketing Their Activities
by: Ionela Claudia ALECSA (ȘTIRBEȚ), et al.
Published: (2015-12-01) -
Cost Minimization with Project Crashing: Comparison of the Traditional Solution and Genetic Algorithm Approach
by: Sadik Yıgıt, et al.
Published: (2024-10-01)