Results 191 to 200 of about 4,635,823 (252)

Design and Optimization of MEMS Resonant Pressure Sensors with Wide Range and High Sensitivity Based on BP and NSGA-II. [PDF]

Micromachines (Basel)
Lv M, Li P, Miao J, Qiao Q, Liang R, Li G, Zhuang X.   +6 more
europepmc   +1 more source

Multi objective optimization and evaluation approach of prefabricated component combination solutions using NSGA-II and simulated annealing optimized projection pursuit method. [PDF]

Sci Rep
Wang Q, Xu X, Ding X, Chen T, Deng R, Li J, Jiang J.   +6 more
europepmc   +1 more source

Multi-objective optimization using improved NSGA-II for integrated process planning and scheduling problems in a machining job shop for large-size valve. [PDF]

PLoS One
Wang J, Xu L, Sun S, Ma Y, Yu G.
europepmc   +1 more source

Optimizing PGRs for in vitro shoot proliferation of pomegranate with bayesian-tuned ensemble stacking regression and NSGA-II: a comparative evaluation of machine learning models. [PDF]

Plant Methods
Zarbakhsh S, Shahsavar AR, Soltani M.
europepmc   +1 more source

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Directed Search: A New Operator in NSGA-II for Task Scheduling in IoT Based on Cloud-Fog Computing

IEEE Transactions on Cloud Computing, 2023
In recent years, the Internet of Things (IoT) developments have made it one of the most important technologies. The exponential growth of data and increasing the number of latency-sensitive applications has necessitated a new approach to support these ...
Soghra Mousavi, Sepehr Ebrahimi Mood, Alireza Souri, M. Javidi   +3 more
semanticscholar   +1 more source

NSGA-II with local perturbation

2017 29th Chinese Control And Decision Conference (CCDC), 2017
To improve the overall performance of one algorithm, most researchers focus on the fitness assignment, preserving diversity and hybridizing different search methods. Different from the above strategies, this paper focuses on the convergence. According to the analysis of the convergence of NSGA-II, local perturbation strategy is introduced to improve ...
Maoqing Zhang, Zhuanghua Zhu, Zhihua Cui, Xingjuan Cai   +3 more
openaire   +1 more source

The Improved NSGA-II Approach

Journal of Electromagnetic Waves and Applications, 2008
The multi-objective optimization NSGA-II approach has been proved that, in most of times, it has much better spread of solutions and better convergence near the true Pareto-optimal than mostly Pareto-optimal method. But there are also disadvantages to restrict the spread uniformity in some problems. This paper overcomes these disadvantages to get three
J. OuYang, F. Yang, S. W. Yang, Z. P. Nie   +3 more
openaire   +1 more source

Multi-Objective Optimization for DC Microgrid Using Combination of NSGA-II Algorithm and Linear Search Method

IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023
With the penetration of renewable sources, the DC microgrid is much more efficient and flexible to link renewable power generators and DC loads. Due to the uncertainties in both sources and loads, it is hard to maintain the economic and optimal operation
Zijun Ren, X. Qu, Minzhi Wang, Changyue Zou   +3 more
semanticscholar   +1 more source

Optimizing risk management using NSGA-II

2012 IEEE Congress on Evolutionary Computation, 2012
Companies are often susceptible to uncertainties which can disturb the achievement of their objectives. The effect of these uncertainties can be perceived as risk that will be taken. A healthful company have to anticipate undesired events by defining a process for managing risks.
Marcos Alvares Barbosa Junior, Fernando Buarque de Lima Neto, Tshilidzi Marwala   +2 more
openaire   +1 more source