Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling is a scholarly work by Xingyi Zhang and Yaochu Jin, published in 2018 in ''IEEE Transactions on Cybernetics''. The main subjects of the publication include mathematics, Pareto principle, design of experiments, multi-objective optimization, optimization problem, benchmark, simplex, set, convergence, evolutionary algorithm, selection (genetic algorithm), computer science, mathematical optimization, swarm intelligence, and range. To address this issue, authors propose a generic front modeling method for evolutionary multiobjective optimization, where the shape of the nondominated front is estimated by training a generalized simplex model.