Results 31 to 40 of about 922,998 (286)
Particle algorithms for optimization on binary spaces
, 2011 We discuss a unified approach to stochastic optimization of pseudo-Boolean objective functions based on particle methods, including the cross-entropy method and simulated annealing as special cases.
Schäfer, Christian
core +2 more sources
Dynamic programming approach to structural optimization problem – numerical algorithm [PDF]
, 2014 In this paper a new shape optimization algorithm is presented. As a model application we consider state problems related to fluid mechanics, namely the Navier-Stokes equations for viscous incompressible fluids.
Fulmański, Piotr +2 more
core +1 more source
Optimal error estimate for a system of several quasi variational inequalities
Journal of Inequalities and ApplicationsThis paper presents and examines a finite element approximation for a system of multiple quasi-variational inequalities. We analyze these inequalities, including terms for sources and obstacles that depend on the solution itself.
Salsabile Loudjani +2 more
doaj +1 more source
Hierarchy Strengthened Grey Wolf Optimizer for Numerical Optimization and Feature Selection
IEEE Access, 2019 Grey wolf optimizer (GWO) is an efficient swarm intelligence algorithm for kinds of optimization problems. However, GWO tends to be trapped in local optimum when solving large-scale problems.
Qiang Tu, Xuechen Chen, Xingcheng Liu
doaj +1 more source
IEEE Access, 2020 Differential Evolution (DE) is a simple and effective stochastic algorithm for optimization problems, and it became much more popular in recent year because of its easy-implementation and excellent performance.
Zhenyu Meng +3 more
doaj +1 more source
Evolutionary multi-stage financial scenario tree generation
, 2010 Multi-stage financial decision optimization under uncertainty depends on a careful numerical approximation of the underlying stochastic process, which describes the future returns of the selected assets or asset categories.
A. Brabazon +16 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source
Three-Dimensional Microwave Imaging: Fast and Accurate Computations with Block Resolution Algorithms
Sensors, 2020 This paper considers the microwave imaging reconstruction problem, based on additive penalization and gradient-based optimization. Each evaluation of the cost function and of its gradient requires the resolution of as many high-dimensional linear systems
Corentin Friedrich +3 more
doaj +1 more source
An α-Model Parametrization Algorithm for Optimization with Differential-Algebraic Equations
Applied Sciences, 2022 An optimization task with nonlinear differential-algebraic equations (DAEs) was approached. In special cases in heat and mass transfer engineering, a classical direct shooting approach cannot provide a solution of the DAE system, even in a relatively ...
Paweł Drąg
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro +10 more
wiley +1 more source