A Multi-Objective Genetic Allocation Method for Comprehensively Planned Projects

DOI

10.2991/978-94-6239-630-2_20How to use a DOI?

Keywords

Multi-objective genetics; Comprehensive planning project; Reserve resource allocation; Resource utilization rate

Abstract

In the current complex and dynamic project management environment, the allocation of reserve resources for comprehensive planning projects often faces challenges such as multi constraint coupling, strong resource heterogeneity, and goal conflicts. Traditional methods rely heavily on a single fund balance constraint, resulting in low resource allocation efficiency, poor dynamic adaptability, and difficulty in achieving multi-objective collaborative optimization. Therefore, this article proposes a comprehensive planning project reserve resource allocation method based on multi-objective genetic algorithm. Firstly, a fitness assignment mechanism based on dominance strength and density information is introduced to effectively distinguish non dominant solutions and improve the convergence accuracy and diversity of the algorithm; Secondly, construct a multi-objective optimization model with the core of maximizing comprehensive income and minimizing total cost, embedding multidimensional constraints such as dynamic allocation of human resources, timeliness of material transportation, and balance of capital flow; Furthermore, by integrating the fuzzy chance constrained planning method, resources are divided into two categories: basic and elastic, and deterministic guarantee strategies and dynamic response mechanisms are adopted respectively to achieve the unity of robustness and flexibility in resource reserves. The experimental results show that the average resource utilization improvement rate of our method is 48%, and it exhibits excellent stability and adaptability in multi-objective collaborative optimization. Compared to existing mainstream methods, this method has significant innovative advantages in terms of precision, dynamism, and multi-objective balancing ability in resource allocation.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Fan Wen
AU  - Yanzuo Chen
AU  - Peng Han
AU  - Shuhong Wu
AU  - Ye Feng
PY  - 2026
DA  - 2026/04/23
TI  - A Multi-Objective Genetic Allocation Method for Comprehensively Planned Projects
BT  - Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)
PB  - Atlantis Press
SP  - 198
EP  - 210
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-630-2_20
DO  - 10.2991/978-94-6239-630-2_20
ID  - Wen2026
ER  -