Results 181 to 190 of about 5,089,183 (236)

Sustainable Multi-objective Process Plan Generation in RMS: Dynamic NSGA-II vs New Dynamic NSGA-II

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2021
Sustainability is becoming more acknowledged as a critical issue and a must. Companies can boost their sustainability and responsiveness in today's ever-changing economic environment by implementing the reconfigurable manufacturing system (RMS) concept.
Khettabi, Imen, Benyoucef, Lyes, Boutiche, Mohamed-Amine   +2 more
openaire   +2 more sources

The effect of offspring population size on NSGA-II

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021
Non-Dominated Sorting Genetic Algorithm (NSGA-II) is one of the most popular Multi-Objective Evolutionary Algorithms (MOEA) and has been applied to a large range of problems. Previous studies have shown that parameter tuning can improve NSGA-II performance.
Max Hort, Federica Sarro
openaire   +1 more source

Rolling schedule design for the ESP rolling process based on NSGA-II-DE.

ISA transactions
Multiple processes connected closely during the endless strip production (ESP) rolling, it is difficult to obtain the global optimal solution by multi-objective modelling of a single process, and the parameters to be optimized coupled with each other. To
Wen Peng, Cheng-Feng Wei, Jiahui Yang, Xiaorui Chen, Baizhi Qi, Xudong Li, Jie Sun, Dianhua Zhang   +7 more
semanticscholar   +1 more source

From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds

AAAI Conference on Artificial Intelligence, 2022
Due to the more complicated population dynamics of the NSGA-II, none of the existing runtime guarantees for this algorithm is accompanied by a non-trivial lower bound. Via a first mathematical understanding of the population dynamics of the NSGA-II, that
Benjamin Doerr, Zhongdi Qu
semanticscholar   +1 more source

Proven Approximation Guarantees in Multi-Objective Optimization: SPEA2 Beats NSGA-II

International Joint Conference on Artificial Intelligence
Together with the NSGA-II and SMS-EMOA, the strength Pareto evolutionary algorithm 2 (SPEA2) is one of the most prominent dominance-based multi-objective evolutionary algorithms (MOEAs).
Yasser Alghouass, Benjamin Doerr, Martin S. Krejca, Mohammed Lagmah   +3 more
semanticscholar   +1 more source

Pareto multi-objective optimization of tandem cold rolling settings for reductions and inter stand tensions using NSGA-II.

ISA transactions, 2022
In this paper, multi-objective optimization of tandem cold rolling settings for reductions and inter-stand tensions using NSGA-II and Pareto-optimal front are investigated.
Zoheir Babajamali, Mohamad Khaje Khabaz, F. Aghadavoudi, F. Farhatnia, S. A. Eftekhari, D. Toghraie   +5 more
semanticscholar   +1 more source

A NSGA-II Algorithm for Task Scheduling in UAV-Enabled MEC System

IEEE transactions on intelligent transportation systems (Print), 2022
In this paper, we investigate the task scheduling problem in the UAV-enable Mobile Edge-Computing (MEC) system with the objectives of minimizing the cost and the completion time. A NSGA-II algorithm is proposed for the problem under study.
Jie Zhu, Xuanyu Wang, Haiping Huang, Shibai Cheng, Min Wu   +4 more
semanticscholar   +1 more source

Multiobjective Placement of Edge Servers in MEC Environment Using a Hybrid Algorithm Based on NSGA-II and MOPSO

IEEE Internet of Things Journal
In a mobile edge computing (MEC) environment, latency and energy consumption can be reduced by offloading tasks from mobile devices to edge servers (ESs) instead of remote cloud servers.
Bahareh Bahrami, M. Khayyambashi, Seyedali Mirjalili   +2 more
semanticscholar   +1 more source

Fast implementation of steady-state NSGA-II

2016 IEEE Congress on Evolutionary Computation (CEC), 2016
In steady-state evolutionary algorithms, the parent population is updated each time once a new offspring solution is generated. Due to the updation of the parent population, the non-dominated sorting needs to be applied again and again. The repetition of non-dominated sorting makes steady-state algorithms computationally expensive. But the recent study
Sumit Mishra, Samrat Mondal, Sriparna Saha 0001   +2 more
openaire   +1 more source

Data-driven configuration optimization of an off-grid wind/PV/hydrogen system based on modified NSGA-II and CRITIC-TOPSIS

, 2020
This paper proposes a data-driven two-stage multi-criteria decision-making (MCDM) framework to investigate the optimal configuration of a stand-alone wind/PV/hydrogen system.
Chuanbo Xu, Yiming Ke, Yan-bin Li, Han Chu, Yunna Wu   +4 more
semanticscholar   +1 more source