Multi-Objective Optimization

Multi-Objective Optimization is used to search Pareto-Optimal Front or Pareto-Frontier so that none of the solutions in Pareto Frontier would be dominated by other solutions. Multi-Objective Optimization can be further classified into constrained Multi-Objective Optimization and unconstrained Multi-Objective Optimization. The implemented Multi-Objective algorithm can be both constrained and unconstrained.

NeuroDimension, Inc. announces the release of NeuroSolutions 6.07

"I have recently purchased a copy of NeuroSolutions 4 and am very happy with the software. It is amazing how many features are available within the network. I am also very impressed by the quality and the speed of the technical support provided by the NeuroSolutions staff."
-- Albrecht Stoecklein (MSc), Building Research Association of New Zealand