Results 91 to 100 of about 4,765,015 (215)
Applied Sciences, 2019 In order to deal with control constraints and the performance optimization requirements in aircraft engines, a new nonlinear model predictive control method based on an elastic BP neural network with a hybrid grey wolf optimizer is proposed in this paper.
Lingfei Xiao +3 more
doaj +1 more source
Integrative Zoology, EarlyView.We decode mitochondrial genomes across all extant canids, revealing lineage‐specific codon optimization driven by altitude, predation, and body size. A tripartite framework integrates geological events, metabolic constraints, and adaptive radiation to explain carnivore evolution.
Xiaoyang Wu +8 more
wiley +1 more source
Integrative Zoology, EarlyView.Social rank in greater long‐tailed hamsters (Tscherskia triton) shapes gut microbiota composition and metabolite profiles. Dominant males exhibit a “high‐vigilance, metabolically activated” phenotype, with elevated aggression and specific gut microbiota enriched in energy‐harvesting taxa and fecal queuine.
Da Zhang, Xiaoming Xu, Zhibin Zhang
wiley +1 more source
Automatic guided vehicles fleet size optimization for flexible manufacturing system by grey wolf optimization algorithm [PDF]
, 2018 Automatic guided vehicle system (AGVs) plays a vital role in material handling operations for a flexible manufacturing system (FMS).Optimum AGVs fleet size selection is one of the most sig-nificant decisions in effective design and control of automated ...
Arindam Kumar Chanda +2 more
core +1 more source
Basis Networks: Learning basis functions for free‐form triangulations
Computer Graphics Forum, EarlyView.Abstract We present a framework for learning compactly supported basis functions that define tangent continuous surfaces based on coarse irregular triangle meshes. The basis functions are represented as MLPs. Smoothness of the basis functions is achieved by using the values of Loop basis functions as the parameterization of the surface.
T. Djuren, M. Alexa
wiley +1 more source
A survey on Grey wolf optimization Algorithms
Grey wolf optimizer (GWO) is arising from grey wolves. The grey wolf algorithmic rule imitate the hunting mechanism of grey wolf. This algorithmic rule is very successful in engineering field. GWO algorithmic rule is very popular in research and analyses in terms of anatomy and manipulation.
openaire +4 more sources
Methodology to identify ecologically matching areas and its applications in conservation planning
Conservation Biology, EarlyView.Abstract Identifying ecologically matching areas is both challenging and critical for understanding spatial patterns of biodiversity and advancing conservation planning. However, existing approaches often lack spatial flexibility, overlook shape and size constraints, or rely on limited environmental parameters, reducing their effectiveness in real ...
Pietro Milanesi +7 more
wiley +1 more source
EPJ Applied MetamaterialsWe revisit the design of cloaks, without resorting to any geometric transform. Cancellation techniques and anomalous resonances have been applied for this purpose. Instead of a deductive reasoning, we propose a novel mono-objective optimization algorithm,
Aznavourian Ronald +3 more
doaj +1 more source
3SD: Rotational symmetry single‐shot denoising in fluorescence microscopy
Journal of Microscopy, EarlyView.Abstract Image noise is a fundamental problem in fluorescence microscopy analysis, especially in live cell imaging applications where the number of detected photons is limited due to low power of excitation lasers to prevent phototoxicity during extended imaging experiments.
Tijmen H. de Wolf +4 more
wiley +1 more source
Engineering Science and Technology, an International JournalVehicle suspension systems have become increasingly crucial for both driving safety and comfort. Active suspension systems can dynamically adjust suspension characteristics in real-time by introducing force into the system. Designing a controller for the
Hasan Başak
doaj +1 more source