Results 31 to 40 of about 4,635,823 (252)
Flexible Services and Manufacturing Journal, 2023 Rising costs for energy are increasingly becoming a vital factor for the production planning of manufacturing companies. Manufacturers face the challenge to react to dynamic energy prices and design energy cost efficient schedules in their production ...
S. C. Burmeister +2 more
semanticscholar +1 more source
A test problem for visual investigation of high-dimensional multi-objective search [PDF]
, 2014 An inherent problem in multiobjective optimization is that the visual observation of solution vectors with four or more objectives is infeasible, which brings major difficulties for algorithmic design, examination, and development.
Miqing Li +5 more
core +4 more sources
IEEE Transactions on Transportation Electrification, 2023 Railway electrification has attracted substantial interest in recent years as a key part of the global effort to achieve transport decarbonization. To improve the energy efficiency of train operations, of particular interest is the optimization of train ...
Xing Chen, Kang Li, Li Zhang, Z. Tian
semanticscholar +1 more source
Dynamic multi‐objective optimisation of complex networks based on evolutionary computation
IET Networks, EarlyView., 2022 Abstract As the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation ...
Linfeng Huang
wiley +1 more source
Ingeniería e Investigación, 2020 Multi-Objective and Many-objective Optimization problems have been extensively solved through evolutionary algorithms over a few decades. Despite the fact that NSGA-II and NSGA-III are frequently employed as a reference for a comparative evaluation of ...
Luis Felipe Ariza Vesga +2 more
doaj +1 more source
Multiobjective genetic algorithm strategies for electricity production from generation IV nuclear technology [PDF]
, 2010 Development of a technico-economic optimization strategy of cogeneration systems of electricity/hydrogen, consists in finding an optimal efficiency of the generating cycle and heat delivery system, maximizing the energy production and minimizing the ...
Azzaro-Pantel, Catherine +5 more
core +2 more sources
IET Renewable Power Generation, EarlyView., 2023 The main purpose of the presented paper is to offer an optimum arrangement for a combined diesel generator/FC/PV system to off‐grid supplying of the electricity in a community in Shache, China. Abstract One of the challenges of the production sector of the electricity industry at present is how to meet the needs of electricity consumption in the ...
Hongbin Wang +3 more
wiley +1 more source
Nanomaterials, 2022 Nanoparticles in drug delivery have been widely studied and have become a potential technique for cancer treatment. Doxorubicin (DOX) and carbon graphene are candidates as a drug and a nanocarrier, respectively, and they can be modified or decorated by ...
Kanes Sumetpipat, Duangkamon Baowan
doaj +1 more source
Application of a fast and elitist multi-objective genetic algorithm to Reactive Power Dispatch [PDF]
Serbian Journal of Electrical Engineering, 2009 This paper presents an Elitist Non-Dominated Sorting Genetic Algorithm version II (NSGA-II), for solving the Reactive Power Dispatch (RPD) problem. The optimal RPD problem is a nonlinear constrained multi-objective optimization problem where the real ...
Subramanian Ramesh +2 more
doaj +1 more source
NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training
Algorithms, 2023 This paper presents NSGA-PINN, a multi-objective optimization framework for the effective training of physics-informed neural networks (PINNs). The proposed framework uses the non-dominated sorting genetic algorithm (NSGA-II) to enable traditional ...
Binghang Lu, Christian Moya, Guang Lin
doaj +1 more source