A branch and bound algorithm for project scheduling problem with spatial resource constraints
From MaRDI portal
Publication:1666182
DOI10.1155/2015/628259zbMath1394.90276OpenAlexW2113831660WikidataQ59119167 ScholiaQ59119167MaRDI QIDQ1666182
Shicheng Hu, Takao Ito, Xuedong Sun, Yong-Gui Kao, Wang, Song
Publication date: 27 August 2018
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2015/628259
Uses Software
Cites Work
- Multi-mode resource-constrained project scheduling using RCPSP and SAT solvers
- Scheduling problems with two agents and a linear non-increasing deterioration to minimize earliness penalties
- A neurogenetic approach for the resource-constrained project scheduling problem
- A survey of variants and extensions of the resource-constrained project scheduling problem
- Simulated annealing and tabu search for multi-mode project payment scheduling
- Scheduling projects with stochastic activity duration to maximize expected net present value
- PSPLIB -- a project scheduling problem library
- PROGRESS: Optimally solving the generalized resource-constrained project scheduling problem
- A linear programming and constraint propagation-based lower bound for the RCPSP
- Procedures for resource leveling and net present value problems in project scheduling with general temporal and resource constraints
- Some scheduling problems with general position-dependent and time-dependent learning effects
- Tabu search for multi-mode resource-constrained project scheduling with schedule-dependent setup times
- Discrete-continuous project scheduling with discounted cash flows - a tabu search approach
- A hybrid scatter search for the discrete time/resource trade-off problem in project scheduling
- A self-adapting genetic algorithm for project scheduling under resource constraints
- The Bin Packing Problem with Precedence Constraints
This page was built for publication: A branch and bound algorithm for project scheduling problem with spatial resource constraints