An Effective Hybrid Algorithm Based on Particle Swarm Optimization with Migration Method for Solving the Multiskill Resource-Constrained Project Scheduling Problem
The paper proposed a new algorithm to solve the Multiskill Resource-Constrained Project Scheduling Problem (MS-RCPSP), a combinational optimization problem proved in NP-Hard classification, so it cannot get an optimal solution in polynomial time. The NP-Hard problems can be solved using metaheuristi...
Saved in:
Main Authors: | Huu Dang Quoc, Loc Nguyen The, Cuong Nguyen Doan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Applied Computational Intelligence and Soft Computing |
Online Access: | http://dx.doi.org/10.1155/2022/6230145 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effective Evolutionary Algorithm for Solving the Real-Resource-Constrained Scheduling Problem
by: Huu Dang Quoc, et al.
Published: (2020-01-01) -
Probability Mechanism Based Particle Swarm Optimization Algorithm and Its Application in Resource-Constrained Project Scheduling Problems
by: Shuai Li, et al.
Published: (2019-01-01) -
AN APPLICATION OF FUZZY PARTICLE SWARM OPTIMIZATION FOR CUSTOMER ANALYSIS
by: Nguyễn Thị Như Na
Published: (2017-06-01) -
Particle Swarm Algorithms to Solve Engineering Problems: A Comparison of Performance
by: Giordano Tomassetti, et al.
Published: (2013-01-01) -
Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities
by: Jun-qing Li, et al.
Published: (2014-01-01)