Results 31 to 40 of about 1,740 (221)
Metaheuristics for pharmacometrics
CPT: Pharmacometrics &Systems Pharmacology, Volume 10, Issue 11, Page 1297-1309, November 2021., 2021 Abstract Metaheuristics is a powerful optimization tool that is increasingly used across disciplines to tackle general purpose optimization problems. Nature‐inspired metaheuristic algorithms is a subclass of metaheuristic algorithms and have been shown to be particularly flexible and useful in solving complicated optimization problems in computer ...
Seongho Kim +4 more
wiley +1 more source
On the microstructure and mechanical property of as-extruded Mg-Gd-Y-Zn alloy with Sr addition [PDF]
, 2017 In this study, microstructure evolutions of Mg-6Gd-3Y-0.1Zn-xSr (x=0, 0.2, 0.6) alloys (named as sample 0Sr, 0.2Sr, 0.6Sr) during heat-treatment and extrusion were investigated.
Chai, Linjiang +3 more
core +1 more source
Design of English Intelligent Simulated Paper Marking System
Complexity, Volume 2021, Issue 1, 2021., 2021 In this paper, we analyze the intelligent subdesign of the simulated marking system through an in‐depth study of it. This paper proposes a correlation analysis‐based quantification of N‐element sense values and a rationality enhancement‐based scoring fitting algorithm for English essays.
Lina Yang, Wei Liu, Wei Wang
wiley +1 more source
Elevated-temperature impact toughness of Mg–(Gd, Y)–Zr alloy [PDF]
, 2013 The Charpy impact results for Mg–10Gd–3Y–0.5Zr and Mg–11Y–5Gd–2Zn–0.5Zr alloys at various temperatures showed that Mg–10Gd–3Y–0.5Zr was more sensitive to temperature. The increase in impact toughness with temperature was related to the blunt crack-tip at
Anyanwu +24 more
core +1 more source
Computational Intelligence and Neuroscience, Volume 2021, Issue 1, 2021., 2021 Comprehensive learning particle swarm optimization (CLPSO) and enhanced CLPSO (ECLPSO) are two literature metaheuristics for global optimization. ECLPSO significantly improves the exploitation and convergence performance of CLPSO by perturbation‐based exploitation and adaptive learning probabilities.
Xiang Yu, Yu Qiao, Raşit Köker
wiley +1 more source
Journal of Magnesium and Alloys, 2021 The fatigue behavior of four extruded Mg-Y-Zn alloys containing different volume fractions of long-period stacking ordered (LPSO) grains was investigated through a comparative study combining experiments and crystal plasticity finite element simulations.
Fabien Briffod +2 more
doaj +1 more source
A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]
, 2009 Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
AS Uyar +25 more
core +4 more sources
Research Progress of Path Planning Methods for Autonomous Underwater Vehicle
Mathematical Problems in Engineering, Volume 2021, Issue 1, 2021., 2021 Path planning is a key technology for autonomous underwater vehicle (AUV) navigation. With the emphasis and research on AUV, AUV path planning technology is continuously developing. Path planning techniques generally include environment modelling methods and path planning algorithms.
Yinjing Guo +4 more
wiley +1 more source
Journal of Materials Research and Technology, 2023 Three relatively novel initial microstructures of Mg–Gd–Y–Zn–Zr alloy were regulated by heat treatment, the deformation behavior of long period stacking ordered (LPSO) phases with different morphology and distribution and their role on recrystallization ...
Xu Wang +4 more
doaj +1 more source
Adaptive particle swarm optimization [PDF]
, 2009 An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence ...
Henry Shu-hung Chung +6 more
core +2 more sources