Results 91 to 100 of about 3,829,483 (294)

ECONOMIC DISPATCH AT THE AMBARLI POWER PLANT USING GENETIC ALGORITHM

open access: yesElectrica, 2019
In this paper we consider the important problem of economic operation of power systems: how to operate a power system to supply all loads at minimum cost. Here we assume that we have some flexibility in adjusting the power delivered by each generator. Of
Belgin TÜRKAY
doaj   +2 more sources

A coarse-grained parallelization of genetic algorithms

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2018
Genetic algorithms are frequently used to solve optimization problems. However, the problems become increasingly complex and time consuming. One solution to speed up the genetic algorithm processing is to use parallelization. The proposed parallelization
Muhamad Radzi Rathomi, Reza Pulungan
doaj   +1 more source

oz343 Genetic Algorithms for Optimal Scheduling of Chlorine Dosing in Water Distribution Systems

open access: yes, 2007
This paper presents a new model using a genetic algorithm optimisation technique for determining the optimal schedule of chlorine dosing within a water distribution system considering multiple, competing objectives: disinfection control and aesthetic ...
Genetic Algorithms For
core  

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

open access: yesFEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour   +2 more
wiley   +1 more source

Heuristic algorithms in topological design of telecommunication networks

open access: yesJournal of Telecommunications and Information Technology, 2003
The paper addresses the generic topological network design problem and considers the use of various heuristic algorithms for solving the problem. The target of the optimisation is to determine a network structure and demand allocation pattern that would
Piotr Karaś
doaj   +1 more source

Adaptive mutation with fitness and allele distribution correlation for genetic algorithms [PDF]

open access: yes, 2006
Copyright @ 2006 ACMIn this paper, a new gene based adaptive mutation scheme is proposed for genetic algorithms (GAs), where the information on gene based fitness statistics and on gene based allele distribution statistics are correlated to explicitly ...
Yang, S   +3 more
core   +1 more source

Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes

open access: yesFEBS Open Bio, EarlyView.
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard   +12 more
wiley   +1 more source

Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

open access: yesCAAI Transactions on Intelligence Technology
Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics ...
Tianyu Hu   +4 more
doaj   +1 more source

Fuzzy Adaptive Genetic Algorithm for Improving the Solution of Industrial Optimization Problems

open access: yesJournal of Intelligent Systems, 2018
In the industrial and manufacturing fields, many problems require tuning of the parameters of complex models by means of exploitation of empirical data.
Vannucci Marco   +3 more
doaj   +1 more source

Design of Novel Metaheuristic Techniques for Clustering

open access: yesIEEE Access, 2018
One of the major drawbacks of clustering techniques utilizing a predetermined number of clusters is that it does not guarantee convergence to the global optimum.
Dina A. Moussa   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy