Results 241 to 250 of about 156,769 (285)

A multi-objective particle swarm algorithm based on hierarchical clustering reference point maintenance. [PDF]

Sci Rep
Chen S, Liu Y, Yang J, Ouyang A, Yu J.
europepmc   +1 more source

Perspective on Aqueous Batteries: Historical Milestones and Modern Revival

Advanced Materials, EarlyView.
This review retraces the development of aqueous batteries from classical Zn‐MnO2 chemistry to modern Zn and Ni systems, correlating voltage, capacity, and electrolyte formulation with practical performance. By mapping historical success and failure onto current and future research directions, it identifies guiding principles that steer the design of ...
Fangwang Ming, Dong Guo, Yizhou Wang, Hussam Qasem, Hanfeng Liang, Husam N. Alshareef   +5 more
wiley   +1 more source

Multi-objective optimisation of path and space utilisation in landscape garden green space design. [PDF]

PLoS One
Yu J, Song J, Lan H, Zhang Y.
europepmc   +1 more source

Solar-assisted tri-generation system with LCPV‑CPC and small-scale gas turbine for year-round clean energy in hot-dry climates. [PDF]

Sci Rep
Ben Hamida MB, Rasheed RH, Singh NSS, Taghavi M.   +3 more
europepmc   +1 more source

Geometrical Optimal Navigation and Path Planning-Bridging Theory, Algorithms, and Applications. [PDF]

Sensors (Basel)
Jafarpourdavatgar H, Saeedinia SA, Mohaghegh M.   +2 more
europepmc   +1 more source

EvoThy-Net: an evolutionary encoder-decoder network for thyroid nodule segmentation in ultrasound imaging. [PDF]

Sci Rep
Ganne NS, Balakrishna S.
europepmc   +1 more source

Hybrid reinforcement learning optimization of aging aware energy management and powertrain sizing in fuel cell hybrid electric vehicles. [PDF]

Sci Rep
Mostashiri A, Montazeri-Gh M.
europepmc   +1 more source

Exploring SARS-CoV-2 spike protein mutations through genetic algorithm-driven structural modeling. [PDF]

Bioinform Adv
Di Salvatore V, Maleki A, Mohajer B, Ras-Carmona A, Russo G, Reche PA, Pappalardo F.   +6 more
europepmc   +1 more source

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Evolutionary Rough Parallel Multi-Objective Optimization Algorithm

Fundamenta Informaticae, 2010
A hybrid unsupervised learning algorithm, which is termed as Parallel Rough-based Archived Multi-Objective Simulated Annealing (PARAMOSA), is proposed in this article. It comprises a judicious integration of the principles of the rough sets theory and the scalable distributed paradigm with the archived multi-objective simulated annealing approach ...
Maulik, Ujjwal, Sarkar, Anasua
openaire   +3 more sources

Weighted preferences in evolutionary multi-objective optimization

International Journal of Machine Learning and Cybernetics, 2011
Evolutionary algorithms have been widely used to tackle multi-objective optimization problems. Incorporating preference information into the search of evolutionary algorithms for multi-objective optimization is of great importance as it allows one to focus on interesting regions in the objective space. Zitzler et al.
Friedrich, T., Kroeger, T., Neumann, F.
openaire   +3 more sources