الفهرس | Only 14 pages are availabe for public view |
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 |