Review of the research landscape of multi-criteria evaluation and benchmarking processes for many-objective optimization methods: coherent taxonomy, challenges …
RT Mohammed, R Yaakob, AA Zaidan… - … Journal of Information …, 2020 - World Scientific
Evaluation and benchmarking of many-objective optimization (MaOO) methods are
complicated. The rapid development of new optimization algorithms for solving problems …
complicated. The rapid development of new optimization algorithms for solving problems …
An ensemble approach with external archive for multi-and many-objective optimization with adaptive mating mechanism and two-level environmental selection
Based on mating and environmental selections employed, multi-objective evolutionary
algorithms (MOEAs) are classified as Pareto-based, decomposition-based and indicator …
algorithms (MOEAs) are classified as Pareto-based, decomposition-based and indicator …
An effective ensemble framework for Many-Objective optimization based on AdaBoost and K-means clustering
During multiobjective evolutionary algorithm (MOEA) evolution, the mating and
environmental selection operators are crucial in selecting promising individuals and …
environmental selection operators are crucial in selecting promising individuals and …
Adaptive operator selection for many-objective optimization with NSGA-III
The number of objectives in real-world problems has increased in recent years and better
algorithms are needed to deal efficiently with it. One possible improvement to such …
algorithms are needed to deal efficiently with it. One possible improvement to such …