Past year
All results
- All results
- Verbatim
Sep 14, 2023 · We present a prediction method based on the classification of decision variables for dynamic multi-objective optimization (DVC).
Feb 9, 2024 · This article proposes a modified competitive swarm optimizer guided by space sampling for large-scale multi-objective optimization (LSMCSO-SS).
A many-objective evolutionary algorithm based on three states for ...
www.nature.com › ... › articles
Aug 19, 2024 · In recent years, researchers have taken the many-objective optimization algorithm, which can optimize 5, 8, 10, 15, 20 objective functions simultaneously, ...
Missing: regularity | Show results with:regularity
Sep 15, 2023 · A two-stage multi-objective evolutionary algorithm based on direction vector guidance (DSMOEA) is proposed in this paper.
Missing: practical | Show results with:practical
Apr 26, 2024 · CAFZGA introduces a new genetic algorithm for multi-objective optimization based on Apparent Front Ranking and crowding distance. Computationally, CAFZGA is ...
Missing: regularity | Show results with:regularity
Apr 4, 2024 · Multi-objective evolutionary algorithms (MOEAs) have shown promising performance in solving various optimization problems, but their performance may ...
Dec 18, 2023 · We cover the application of multi- and many-objective optimization methods, particularly those based on Evolutionary Computation and Machine Learning ...
Apr 15, 2024 · EAs can obtain multiple optimal solutions in a single simulation, so it is very suitable for solving multiobjective problems. Various multiobjective ...
Missing: regularity | Show results with:regularity
Jul 3, 2024 · An EA uses mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection.
Nov 15, 2023 · Multiobjective evolutionary algorithm based on decomposition (MOEA/D) is a new framework for dealing with such kind of multiobjective optimization problems ( ...
People also search for