Modern heuristic techniques for combinatorial problems
Modern heuristic techniques for combinatorial problems
Scheduling in Computer and Manufacturing Systems
Scheduling in Computer and Manufacturing Systems
A high-performance exact method for the resource-constrained project scheduling problem
Computers and Operations Research
How to Solve It: Modern Heuristics
How to Solve It: Modern Heuristics
Computers in Industry - Special issue: Application of genetics algorithms in industry
Hi-index | 0.00 |
This paper describes a new technique for solving the duration minimization in a resource-constrained network. It is based on a transformation of the resource-constrained project scheduling problem (RCPSP) to a sequence of (multi)knapsack problem (MKP) solutions. In the first part, three deterministic approaches are summarized and their time complexity is discussed. Due to the combinatorial nature of the problem for large projects with many constraints, heuristic techniques are applied. A genetic algorithm approach is proposed and compared with simulated annealing.