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M.J.: Fuzzy-genetic decision optimization for optimization of complex stochastic systems
- In: Proceedings 5th Online World Conference on Soft Computing in Industrial Applications. (2000
"... multi-objective optimization on complex stochastic systems. A stochastic simulation model estimates the results of parameter settings for the system. A fuzzy ordinal preference model aggregates these results into a single fitness value for the input parameter set. A genetic algorithm uses this fitne ..."
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multi-objective optimization on complex stochastic systems. A stochastic simulation model estimates the results of parameter settings for the system. A fuzzy ordinal preference model aggregates these results into a single fitness value for the input parameter set. A genetic algorithm uses this fitness value to search for a population of high performance parameter sets which achieve the modeler’s objectives. In a tactical planning experiment, Fuzzy-Genetic Decision Optimization enabled a human planner to develop a significantly better plan than he developed without automated assistance. 1
