Results 31 to 40 of about 240,959 (297)
Improved Genetic Algorithm for Web Service Composition QoS Optimization [PDF]
Jisuanji 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
Materials & 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
A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems
, 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
Genetic learning particle swarm optimization [PDF]
, 2016 Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitates global effectiveness.
Chung, Henry Shu-Hung +6 more
core +2 more sources
Genetic algorithms for auto-tuning mobile robot motion control [PDF]
, 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
Molecular Oncology, EarlyView.This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert +13 more
wiley +1 more source
OPTIMIZING GAS STATION LOCATION USING GENETIC ALGORITHMS
Bentang : 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
FEBS 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
PENYELESAIAN MULTI TRAVELING SALESMAN PROBLEM DENGAN ALGORITMA GENETIKA
E-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
Network Localization of Fatigue in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo +12 more
wiley +1 more source