Results 11 to 20 of about 798,881 (130)
This is the first full release version of the PUMA. Compared to the previous pre-release version this version has had many of the models overhauled to make them easier to print or assemble or to improve their functionality or reliability.
PJT
core +1 more source
A self-learning particle swarm optimizer for global optimization problems [PDF]
Copyright @ 2011 IEEE. All Rights Reserved. This article was made available through the Brunel Open Access Publishing Fund.Particle swarm optimization (PSO) has been shown as an effective tool for solving global optimization problems.
Yang, S +8 more
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antw0n/universal-database-optimizer-notes: Initial Release
Universal Database Optimizer ...
Anton Lorvi
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Improved Fitness-Dependent Optimizer for Solving Economic Load Dispatch Problem [PDF]
Economic load dispatch depicts a fundamental role in the operation of power systems, as it decreases the environmental load, minimizes the operating cost, and preserves energy resources. The optimal solution to economic load dispatch problems and various
Chhabra, Amit +13 more
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Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Daily activity budgets reflect how animals balance internal physiological demands with external environmental pressures. We analyzed 14 037 camera‐trap records from 12 mammal species in the Venezuelan Llanos to evaluate the effects of foraging strategy (faunivore versus herbivore), season, and body mass on daily activity duration, to describe diel ...
Ilad Vivas +10 more
wiley +1 more source
Adaptive learning particle swarm optimizer-II for global optimization [PDF]
Copyright @ 2010 IEEE.This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO), we call it ALPSO-II. In order to improve the performance of ALPSO on multi-modal problems, we introduce several new major features in ...
Yang, S +5 more
core +1 more source
We describe testicular echobiometry and sperm characterization in oncilla (Leopardus tigrinus) from the Caatinga biome, Ceará, Brazil. ABSTRACT Among neotropical small felids, the Leopardus tigrinus is classified as vulnerable by the International Union for Conservation of Nature, but studies on reproductive morphology and physiology are scarce for ...
Yuri Gonçalves Matos +8 more
wiley +1 more source
A clustering particle swarm optimizer for dynamic optimization [PDF]
This article is posted here with permission of the IEEE - Copyright @ 2009 IEEEIn the real world, many applications are nonstationary optimization problems.
Yang, S +5 more
core +1 more source
Apex predators exploit advantageous snow conditions across hunting modes
Advantageous snow conditions—in terms of snow depth and density—are among the most important features of the winter landscape for two apex predators, regardless of hunting strategy. In a warming climate, the knock‐on effects of a diminishing snowpack may reduce the hunting success of multiple large carnivore species.
Benjamin K. Sullender +7 more
wiley +1 more source

