Results 1 to 10 of about 29,944 (164)

Effectiveness of Global Optimisation and Direct Kinematics in Predicting Surgical Outcome in Children with Cerebral Palsy [PDF]

open access: yesLife, 2021
Multibody optimisation approaches have not seen much use in routine clinical applications despite evidence of improvements in modelling through a reduction in soft tissue artifacts compared to the standard gait analysis technique of direct kinematics. To
Claude Fiifi Hayford   +4 more
doaj   +2 more sources

Novel design of an airplane split wheel based on the hybrid topology and shape optimisation [PDF]

open access: yesScientific Reports
A specific two-piece wheel is used for tyre/wheel assembly testing at the Aviation Tyres Science Centre, and the current research focuses on wheel optimisation.
Junda Li   +4 more
doaj   +2 more sources

Energy landscapes and heat capacity signatures for peptides correlate with phase separation propensity

open access: yesQRB Discovery, 2023
Phase separation plays an important role in the formation of membraneless compartments within the cell and intrinsically disordered proteins with low-complexity sequences can drive this compartmentalisation.
Nicy   +3 more
doaj   +1 more source

The Real-Life Application of Differential Evolution with a Distance-Based Mutation-Selection

open access: yesMathematics, 2021
This paper proposes the real-world application of the Differential Evolution (DE) algorithm using, distance-based mutation-selection, population size adaptation, and an archive for solutions (DEDMNA). This simple framework uses three widely-used mutation
Petr Bujok
doaj   +1 more source

Approach for a Global Route-Based Energy Management System for Electric Vehicles with a Hybrid Energy Storage System

open access: yesEnergies, 2023
The usage of batteries and supercapacitors in the field of electric vehicles is becoming increasingly prominent in both research and development. Due to the complementary advantages of the two systems, high energy density, and high power density, a ...
Tuyen Nguyen   +3 more
doaj   +1 more source

Machine-Learning Assisted Optimisation of Free-Parameters of a Dual-Input Power Amplifier for Wideband Applications

open access: yesSensors, 2021
This paper presents an auto-tuning approach for dual-input power amplifiers using a combination of global optimisation search algorithms and adaptive linearisation in the optimisation of a multiple-input power amplifier.
Teng Wang   +3 more
doaj   +1 more source

On a Parallelised Diffusion Induced Stochastic Algorithm with Pure Random Search Steps for Global Optimisation

open access: yesMathematics, 2021
We propose a stochastic algorithm for global optimisation of a regular function, possibly unbounded, defined on a bounded set with regular boundary; a function that attains its extremum in the boundary of its domain of definition.
Manuel L. Esquível   +3 more
doaj   +1 more source

A Search Algorithm for Global Optimisation [PDF]

open access: yes, 2005
This paper investigates a global search optimisation technique, referred to as the repeated weighted boosting search. The proposed optimisation algorithm is extremely simple and easy to implement. Heuristic explanation is given for the global search capability of this technique. Comparison is made with the two better known and widely used global search
Sheng Chen 0001   +2 more
openaire   +1 more source

Investigation of the Structures and Energy Landscapes of Thiocyanate-Water Clusters

open access: yesInorganics, 2017
The Basin Hopping search method is used to find the global minima (GM) and map the energy landscapes of thiocyanate-water clusters, (SCN−)(H2O)n with 3–50 water molecules, with empirical potentials describing the ion-water and water-water interactions ...
Lewis C. Smeeton   +2 more
doaj   +1 more source

Optimisation‐based training of evolutionary convolution neural network for visual classification applications

open access: yesIET Computer Vision, 2020
Training of the convolution neural network (CNN) is a problem of global optimisation. This study proposed a hybrid modified particle swarm optimisation (MPSO) and conjugate gradient (CG) algorithm for efficient training of CNN. The training involves MPSO–
Shanshan Tu   +7 more
doaj   +1 more source

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