Results 51 to 60 of about 156,769 (285)

Understanding and Optimizing Li Substitution in P2‐Type Sodium Layered Oxides for Sodium‐Ion Batteries

Advanced Functional Materials, EarlyView.
This work explores Li‐substituted P2 layered oxides for Na‐ion batteries by crystallographic and electrochemical studies. The effect of lithium on superstructure orderings, on phase transitions during synthesis and electrochemical cycling and on the interplay of O‐ versus TM‐redox is revealed via various advanced techniques, including semi‐simultaneous 
Mingfeng Xu, Giovanni Gammaitoni, Michael Häfner, Eduardo Villalobos‐Portillo, Carlo Marini, Matteo Bianchini   +5 more
wiley   +1 more source

A Pareto Front Transformation Model for Multi- Objective-Based Constrained Optimization

IEEE Access
One of the most promising approaches of handling constrained optimization problems (COPs) is to adopt multi-objective methods, which can provide a trade-off between the objective and constraints.
Sanyou Zeng, Rui Zhang, Ruwang Jiao, Qinghui Xu   +3 more
doaj   +1 more source

Multi-Objective Optimization of Hybrid Renewable Energy System Using an Enhanced Multi-Objective Evolutionary Algorithm

Energies, 2017
Due to the scarcity of conventional energy resources and the greenhouse effect, renewable energies have gained more attention. This paper proposes methods for multi-objective optimal design of hybrid renewable energy system (HRES) in both isolated-island
Mengjun Ming, Rui Wang, Yabing Zha, Tao Zhang   +3 more
doaj   +1 more source

ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization [PDF]

, 2010
This chapter presents ParadisEO-MOEO, a white-box object-oriented software framework dedicated to the flexible design of metaheuristics for multi-objective optimization.
A. Liefooghe, A. Liefooghe, A. Wierzbicki, C. Gagné, C.A. Coello Coello, C.M. Fonseca, D. Corne, D.E. Goldberg, D.E. Goldberg, E. Zitzler, E. Zitzler, E. Zitzler, E. Zitzler, E.G. Talbi, E.G. Talbi, H. Ishibuchi, H. Meunier, J. Horn, J. Molina, J.D. Landa Silva, J.D. Schaffer, J.H. Holland, K. Deb, K. Deb, K. Deb, K. Deb, K. Miettinen, K.C. Tan, L. Jourdan, M. Keijzer, M.P. Fourman, N. Beume, N. Srinivas, O. Schuetze, R.L. Graham, S. Bleuler, S. Cahon, S. Helbig, S. Poles, V. T’Kindt   +39 more
core   +5 more sources

Fractional Skyrmion Tubes in Chiral‐Interfaced 3D Magnetic Nanowires

Advanced Functional Materials, EarlyView.
In chiral 3D helical magnetic nanowires, the coupling between the geometric and magnetic chirality provides a way to create topological spin states like vortex tubes. Here, it is demonstrated how the breaking of this coupling in interfaced 3D nanowires of opposite chirality leads to even more complex topological spin states, such as fractional ...
John Fullerton, Naëmi Leo, Jakub Jurczyk, Claire Donnelly, Dédalo Sanz‐Hernández, Luka Skoric, Nicholas Mille, Stefan Stanescu, Donald A MacLaren, Rachid Belkhou, Aurelio Hierro‐Rodriguez, Amalio Fernández‐Pacheco   +11 more
wiley   +1 more source

A Systematic Study on Recent Evolutionary Algorithms for Multi-Modal Multi-Objective Optimization

Pakistan Journal of Engineering Technology & Science
The real-world optimization problems are inherently multi-modal and multi-objective (MMMO), such as bio-medical imaging, automotive engine design, plant identification in control systems, inference engine design, etc. This is mainly because of the acute
Muhammad Waqar Khan, Adnan Ahmed Siddiqui, Syed Sajjad Hussain Rizvi   +2 more
doaj   +1 more source

Initialization of a multi-objective evolutionary algorithms knowledge acquisition system for renewable energy power plants

Journal of Applied Research on Industrial Engineering, 2018
The design of Renewable Energy Power Plants (REPPs) is crucial not only for the investments' performance and attractiveness measures, but also for the maximization of resource (source) usage (e.g.
Burak Omer Saracoglu, Miguel De Simón Martín   +1 more
doaj   +1 more source

Application of Multi-Objective Evolutionary Optimization Algorithms to Reactive Power Planning Problem [PDF]

, 2008
This paper presents a new approach to treat reactive power (VAr) planning problem using multi-objective evolutionary algorithms. Specifically, Strength Pareto Evolutionary Algorithm (SPEA) and Multi-Objective Particle Swarm Optimization (MOPSO ...
Mehdi, Eghbal, Yorino, Naoto, Zoka, Yoshifumi   +2 more
core  

Adversarial Black-Box Attacks on Automatic Speech Recognition Systems using Multi-Objective Evolutionary Optimization

, 2019
Fooling deep neural networks with adversarial input have exposed a significant vulnerability in the current state-of-the-art systems in multiple domains.
Aralikatte, Rahul, Khare, Shreya, Mani, Senthil   +2 more
core   +1 more source

Stochastic optimization framework (SOF) for computer-optimized design, engineering, and performance of multi-dimensional systems and processes [PDF]

, 2008
Many systems and processes, both natural and artificial, may be described by parameter-driven mathematical and physical models. We introduce a generally applicable Stochastic Optimization Framework (SOF) that can be interfaced to or wrapped around such ...
Fink, Wolfgang
core   +1 more source