The serial and parallel scheduling procedures which
usually operate on these lists have also been
extended to handle fuzzy time parameters
By
RAJ A C
SPSP formulations in this thesis
WORKER COMPENSATION SCHEME
SPSP formulations in this thesis
TASK PRIORITY SCHEME
• Deadlines are often associated with specific tasks of the entire project.
In order to address deadline issues, the concept of ‘‘importance”of
tasks is introduced by assigning three properties to eachtask: Dsoft,
Dhard, and P. The two deadlines are expressed in timeunits, while the
penalty P is expressed as a cost per unit time.
Proposed methods
Method 1:
DE algorithm with improved mutation scheme
Application of heuristic practical problem.pptx
Application of heuristic practical problem.pptx
Application of heuristic practical problem.pptx
Application of heuristic practical problem.pptx
Application of heuristic practical problem.pptx
Application of heuristic practical problem.pptx
Application of heuristic practical problem.pptx
Application of heuristic practical problem.pptx
Application of heuristic practical problem.pptx
Application of heuristic practical problem.pptx
Application of heuristic practical problem.pptx
Application of heuristic practical problem.pptx
Application of heuristic practical problem.pptx
Application of heuristic practical problem.pptx

Application of heuristic practical problem.pptx

  • 1.
    The serial andparallel scheduling procedures which usually operate on these lists have also been extended to handle fuzzy time parameters By RAJ A C
  • 5.
    SPSP formulations inthis thesis WORKER COMPENSATION SCHEME
  • 7.
    SPSP formulations inthis thesis TASK PRIORITY SCHEME • Deadlines are often associated with specific tasks of the entire project. In order to address deadline issues, the concept of ‘‘importance”of tasks is introduced by assigning three properties to eachtask: Dsoft, Dhard, and P. The two deadlines are expressed in timeunits, while the penalty P is expressed as a cost per unit time.
  • 8.
    Proposed methods Method 1: DEalgorithm with improved mutation scheme