Determination of the efficient set in multiobjective linear programming
Journal of Optimization Theory and Applications
Computational Optimization and Applications - Special issue dedicated to George Dantzig
Hybrid approach for solving multiple-objective linear programs in outcome space
Journal of Optimization Theory and Applications
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Why Quality Assessment Of Multiobjective Optimizers Is Difficult
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Minimal sets of quality metrics
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
The measure of Pareto optima applications to multi-objective metaheuristics
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Enhancement of Sandwich Algorithms for Approximating Higher-Dimensional Convex Pareto Sets
INFORMS Journal on Computing
Generating equidistant representations in biobjective programming
Computational Optimization and Applications
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In this paper, we address the problem of generating a discrete representation of the nondominated frontier in multiple objective linear problems. We find a surface that approximates the shape of the nondominated frontier. Utilizing the surface, we generate a set of discrete points that is representative of the frontier. Our experience on randomly generated problems demonstrates that the approach performs well in terms of both the quality of the representation and the computation time.