Load Balancing Schemes for Large Synthetic Population-Based Complex Simulators

2021 ◽  
Author(s):  
Bogdan Mucenic ◽  
Chaitanya Kaligotla ◽  
Abby Stevens ◽  
Jonathan Ozik ◽  
Nicholson Collier ◽  
...  
Keyword(s):  
Load Balancing ◽  
Population Based ◽  
Synthetic Population

A Hybrid Population-Based Incremental Learning algorithm for load balancing in RPR

2010 ◽  
Author(s):  
Anabela M. Bernardino ◽  
Eugenia M. Bernardino ◽  
Juan Manuel Sanchez-Perez ◽  
Juan Antonio Gomez-Pulido ◽  
Miguel Angel Vega-Rodriguez
Keyword(s):  
Load Balancing ◽  
Incremental Learning ◽  
Learning Algorithm ◽  
Population Based ◽  
Hybrid Population

scholarly journals New Adaptive Multi-Memetic Global Optimization Algorithm for Loosely Coupled Systems

2019 ◽  
pp. 95-114
Author(s):  
M.K. Sakharov
Keyword(s):  
Global Optimization ◽  
Load Balancing ◽  
Optimization Algorithm ◽  
Optimization Problems ◽  
Population Based ◽  
Coupled Systems ◽  
Computing Systems ◽  
Loosely Coupled ◽  
Distinct Features ◽  
Population Based Algorithm

This study introduces a new parallel adaptive multi-memetic population-based algorithm for solving global optimization problems efficiently on loosely coupled computing systems. The existent approaches to the synthesis of adaptive population-based algorithms were considered along with the parallelization techniques; distinct features of the loosely coupled computing systems were identified; those features have to be considered carefully when designing algorithms for this class of systems. The proposed algorithm is based on the two level adaptation strategies. The upper level is a static one and allows one to adjust numeric values of the basic algorithm's free parameters before the optimization process using the information about an objective function obtained by means of the landscape analysis. The lower level is a dynamic one and was implemented by means of hybridization of the basic algorithm and several local search methods (memes). The work also presents a new static load balancing method for mapping the proposed algorithm onto parallel computing nodes. The proposed load balancing method takes into consideration both the optimization algorithm's distinct features and the computing system's architecture. This results in higher efficiency of the optimization algorithm comparing to the traditional load balancing methods. A wide performance investigation of the proposed optimization algorithm and its software optimization was carried out in this work with a use of high-dimensional benchmark functions of various classes.

Risk of fracture in Crohn's disease: A population-based study

2001 ◽  
Vol 120 (5) ◽  
pp. A628-A628
Author(s):  
E LOFTUSJR ◽  
C CROWSON ◽  
W SANDBORN ◽  
W TREAMINE ◽  
W OFALLON ◽  
...  
Keyword(s):  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Population Based ◽  
Population Based Study ◽  
Risk Of Fracture

1419: Population-Based PSA Velocity

2007 ◽  
Vol 177 (4S) ◽  
pp. 468-468
Author(s):  
David Connolly ◽  
Amanda Black ◽  
Liam J. Murray ◽  
Anna Gavin ◽  
Patrick F. Keane
Keyword(s):  
Population Based ◽  
Psa Velocity

264: Population-Based Study of Renal Cell Carcinoma and Prostate Cancer in the Same Patient

2005 ◽  
Vol 173 (4S) ◽  
pp. 73-73 ◽  
Author(s):  
Daniel A. Barocas ◽  
Farhang Rabbani ◽  
Douglas S. Scherr ◽  
E. Darracott Vaughan
Keyword(s):  
Prostate Cancer ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Population Based ◽  
Population Based Study
Sign in / Sign up

Export Citation Format

Share Document