基于改进鹈鹕优化算法的产品研发项目调度方法及系统
By improving the Pelican optimization algorithm and combining it with a bidirectional learning curve model of cognition and skills, the scheduling problem of multi-objective product development projects was solved, the total project duration and total cost were optimized, and the scheduling accuracy and efficiency were improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HEFEI UNIV OF TECH
- Filing Date
- 2023-05-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot effectively solve the scheduling problem of multi-mode, multi-skilled, and resource-constrained multi-objective product development projects, making it difficult to optimize the total project duration and total cost at the same time.
An improved pelican optimization algorithm is adopted, combined with a cognitive and skill bidirectional learning curve model, to establish a model of employee skill level changes. The product development project scheduling model is solved by guiding individual pelican movement through Pareto's multi-objective optimization strategy and preset movement strategy.
It improves the accuracy and efficiency of product development project scheduling, enabling more precise calculation of total duration and total cost, which aligns with real-world product development scenarios and optimizes project scheduling results.
Smart Images
Figure CN117314032B_ABST