Results 31 to 40 of about 239,089 (293)

A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems

open access: yes, 2010
This study presents a new approach based on a hybrid algorithm consisting of Genetic Algorithm (GA), Pattern Search (PS) and Sequential Quadratic Programming (SQP) techniques to solve the well-known power system Economic dispatch problem (ED).
Al-Othman, A. K.   +2 more
core   +1 more source

Optimizing additive manufacturing path pattern for Ti-6Al-4V thin rods using a combinatorial radial basis function surrogate-assisted genetic algorithm

open access: yesMaterials & Design, 2023
Path pattern is one of the most significant parameters in the additive manufacturing (AM) process because it influences the specimen's final shape and residual stress distribution.
Ruqing Bai   +8 more
doaj   +1 more source

Improved Genetic Algorithm for Web Service Composition QoS Optimization [PDF]

open access: yesJisuanji gongcheng, 2017
An improved Genetic Algorithm(GA) for Web service composition Quality of Service(QoS) optimization is brought up by combining Simulated Annealing(SA) algorithm and traditional GA.In order to keep the diversity of the population,the thought of choosing ...
OUYANG Chao,CHEN Zhibo,SUN Guodong
doaj   +1 more source

Genetic algorithms for auto-tuning mobile robot motion control [PDF]

open access: yes, 2002
This paper discusses a genetic algorithm (GA) based method for automatically tuning mobile robot motion controllers. The genetic algorithm evolves a controller that is optimised for a given performance measure. Genetic algorithms require a mapping from
Messom, Chris
core  

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

open access: yesFEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz   +6 more
wiley   +1 more source

OPTIMIZING GAS STATION LOCATION USING GENETIC ALGORITHMS

open access: yesBentang : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil, 2013
Gas station location is not only based on financial but also environment aspects because it will give negative impact if there are some accidents such as fire, tank leakage, etc. Helping customer in supplying fuels should not sacrifice other needs such as health, food, education, living circumstance, and so on.
Rahmadya Trias Handayanto   +2 more
openaire   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

open access: yesFEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli   +8 more
wiley   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito   +14 more
wiley   +1 more source

PENYELESAIAN MULTI TRAVELING SALESMAN PROBLEM DENGAN ALGORITMA GENETIKA

open access: yesE-Jurnal Matematika, 2017
Genetic algorithm is a part of heuristic algorithm which can be applied to solve various computational problems. This work is directed to study the performance of the genetic algorithm (GA) to solve Multi Traveling Salesmen Problem (multi-TSP).
NI KADEK MAYULIANA   +2 more
doaj   +1 more source

How Good are Genetic Algorithms at Finding Large Cliques: An Experimental Study [PDF]

open access: yes, 1993
This paper investigates the power of genetic algorithms at solving the MAX-CLIQUE problem. We measure the performance of a standard genetic algorithm on an elementary set of problem instances consisting of embedded cliques in random graphs.
Carter, Robert, Park, Kihong
core   +1 more source

Home - About - Disclaimer - Privacy