A novel greedy genetic algorithm-based personalized travel recommendation system
In recent years, there has been a significant increase in the utilization of Tourism
Recommendation Systems (TRS) to enhance tourist satisfaction. However, planning a trip …
Recommendation Systems (TRS) to enhance tourist satisfaction. However, planning a trip …
A reference point-based evolutionary algorithm for approximating regions of interest in multiobjective problems
Most evolutionary multiobjective optimization algorithms are designed to approximate the
entire Pareto front. During the last decade, a series of preference-based evolutionary …
entire Pareto front. During the last decade, a series of preference-based evolutionary …
Setnds: A set-based non-dominated sorting algorithm for multi-objective optimization problems
L Xue, P Zeng, H Yu - Applied Sciences, 2020 - mdpi.com
Non-dominated sorting, used to find pareto solutions or assign solutions to different fronts, is
a key but time-consuming process in multi-objective evolutionary algorithms (MOEAs). The …
a key but time-consuming process in multi-objective evolutionary algorithms (MOEAs). The …
Optimizing performance and energy efficiency in massively parallel systems
R Nozal - 2022 - repositorio.unican.es
Heterogeneous systems are becoming increasingly relevant, due to their performance and
energy efficiency capabilities, being present in all types of computing platforms, from …
energy efficiency capabilities, being present in all types of computing platforms, from …
Modern training model of apprenticeship based on multi-objective optimisation algorithm for sustainable development of school-enterprise cooperation
B Yu - International Journal of Knowledge-Based …, 2023 - inderscienceonline.com
With the transformation of vocational education talent training mode to'modern
apprenticeship', this study proposes a'modern apprenticeship'talent training mode based on …
apprenticeship', this study proposes a'modern apprenticeship'talent training mode based on …
A parallel naive approach for non-dominated sorting: a theoretical study considering PRAM CREW model
Pareto-based multi-objective evolutionary algorithms use non-dominated sorting as an
intermediate step. These algorithms are easy to parallelize as various steps of these …
intermediate step. These algorithms are easy to parallelize as various steps of these …
An approach for non-domination level update problem in steady-state evolutionary algorithms with parallelism
One of the bottlenecks in steady-state multiobjective evolutionary algorithms (MOEAs) is non-
dominated sorting because it is performed every time whenever a new offspring is …
dominated sorting because it is performed every time whenever a new offspring is …
Parallelism in divide-and-conquer non-dominated sorting: a theoretical study considering the PRAM-CREW model
Non-dominated sorting is a crucial component of Pareto-based multi-and many-objective
evolutionary algorithms. As the number of objectives increases, the execution time of a multi …
evolutionary algorithms. As the number of objectives increases, the execution time of a multi …
A radix sorting parallel algorithm suitable for graphic processing unit computing
S **ao, C Li, B Guo, H **ao - Concurrency and Computation …, 2021 - Wiley Online Library
Radix sorting is an essential basic data processing operation in many computer fields. It has
important practical significance to accelerate its performance through Graphic Processing …
important practical significance to accelerate its performance through Graphic Processing …
Parallel Best Order Sort for Non-dominated Sorting: A Theoretical Study Considering the PRAM-CREW Model
In the current paper we focus on parallelization of non-dominated sorting which is an
essential step in Pareto-based multi-objective evolutionary algorithms. The parallel …
essential step in Pareto-based multi-objective evolutionary algorithms. The parallel …