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Using neural networks in agent teams to speedup solution discovery for hard multi-criteria problems
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)
Hard multi-criteria (MC) problems are computationally intractable problems requiring optimization of more than one criterion. However, the optimization of two or more criteria tends to yield not just one optimal solution, but rather a set of non-dominated solutions. As a result, the evolution of a Pareto-Optimai set of non-dominated solutions from some population of candidate solutions is often the most appropriate course of action. The non-dominated set of a population of solutions isdoi:10.1109/ijcnn.1999.836211 dblp:conf/ijcnn/GittensG99 fatcat:ymdpyiqmwrgznb3jahatrtgmx4