Simulation-Based Multiobjective Optimization of Open-Pit Mine Haulage System: A Modified-NBI Method and Meta Modeling Approach

A large number of engineering problems involve several conflicting objectives, which today are often solved through expensive simulation calculations. Methods based on meta-models one the approaches to solving this group problems. In paper, multiobjective optimization in extraction system a copper open-pit mine complex is presented by modified-NBI method and regression meta-model. For purpose, two objective functions maximizing amount total extraction, sum sulfide, oxide, low-grade ores, waste mine, minimizing transport time haulage according limitation its storage capacity, equipment, budget considered. The Central Composite Design (CCD) used build Experiments (DOE) for design variables. considered variables trucks 120 tons, 240 35 100 tons. targets each combination response surface. suitable meta-model maximize rate minimize haulage, modified nonlinear have been determined. accuracy models selection has done using PRESS R 2 statistics. most common error also validate meta-models. Then problem was method. Finally, Pareto optimal solutions proposed approach were discussed.