Iterative Computer Algorithms with Applications in Engineering: Solving Combinatorial Optimization Problems
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Multiobjective evolutionary algorithms: classifications, analyses, and new innovations
Multiobjective evolutionary algorithms: classifications, analyses, and new innovations
Robustness of mechanical systems against uncertainties
Finite Elements in Analysis and Design
International Journal of Applied Metaheuristic Computing
Analog Integrated Circuits and Signal Processing
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In this paper, some new quality metrics concerning the evaluation of performances of biobjective optimization methods relating to the generation of the Pareto frontier are presented. A new metric for the calculation of the running speed of a multiobjective optimization method is also presented.These metrics are tested on two biobjective scalarization functions (Weighted sum and Tchebychev aggregation of objective functions) handled by a metaheuristic (Simulated Annealing).