الفهرس 
Enhancing multi-objective optimization using genetic programming
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Abstract
Successful two-objective optimizers are not suitable for problems with more than three objectives, where selection pressure towards the Pareto front deteriorates, leading to most solutions becoming non-dominated to each other, making selection very difficult. In this paper, epsilon dominance is combined with genetic programming to solve a many-objective optimization problem for the first time. Results show this combination is promising