An Empirical Study of Aggregation Operators with Pareto Dominance in Multiobjective Genetic Algorithm
Sign Up to like & getrecommendations! Published in 2017 at "IETE Journal of Research"
DOI: 10.1080/03772063.2017.1284618
Abstract: ABSTRACT Genetic algorithms (GAs) have been widely used in solving multiobjective optimization problems (MOP). The foremost hindrance limiting strength of GA is the large number of nondominated solutions and the computational complexity involved in selecting… read more here.
Keywords: aggregation; aggregation operators; empirical study; study aggregation ... See more keywords
Pareto Dominance Archive and Coordinated Selection Strategy-Based Many-Objective Optimizer for Protein Structure Prediction.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3247025
Abstract: Protein structure prediction (PSP) is predicting the three-dimensional of protein from its amino acid sequence only based on the information hidden in the protein sequence. One of the efficient tools to describe this information is… read more here.
Keywords: many objective; structure; pareto dominance; selection ... See more keywords
A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3051078
Abstract: In the past several years, it has become apparent that the effectiveness of Pareto-dominance-based multiobjective evolutionary algorithms deteriorates progressively as the number of objectives in the problem, given by M, grows. This is mainly due… read more here.
Keywords: pareto; dominance; objective evolutionary; pareto dominance ... See more keywords