Process / pipelineSimulation / optimization
Multi-Objective Linear Programming (MOLP)
Multi-Objective Linear Programming (MOLP) extends classical linear programming to handle several conflicting linear objective functions simultaneously over a feasible region defined by linear constraints. Instead of a single optimal solution, MOLP produces a Pareto-efficient frontier from which a decision-maker selects a preferred trade-off. It is foundational to operations research and management science for resource allocation, planning, and design problems with competing goals.
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Sources
- Steuer, R. E. (1986). Multiple Criteria Optimization: Theory, Computation, and Application. John Wiley & Sons, New York. ISBN: 9780471888468
- Chankong, V., Haimes, Y. Y. (1983). Multiobjective Decision Making: Theory and Methodology. North-Holland, New York. link ↗