We present a new interactive procedure for evolutionary multiobjective optimization involving the decision rule preference model in the search for the best compromise solution. As usual in the interactive multiobjective optimization, preference elicitation phases alternate with optimization...

Many, if not most, real-world decision-making problems from operations research/management science are very complex in nature and quite hard to solve by classical optimization techniques. Such problems are often confronted with multi-objective decision-making problems, which involve multiple...