Results 51 to 60 of about 329,581 (308)

ASSESSING SOFTWARE RELIABILITY USING GENETIC ALGORITHMS

The Journal of Engineering Research, 2019
The role of software reliability and quality improvement is becoming more important than any other issues related to software development. To date, we have various techniques that give a prediction of software reliability like neural networks, fuzzy ...
Rachna Jain, Arun Sharma
doaj   +1 more source

Incremental multiple objective genetic algorithms

, 2004
This paper presents a new genetic algorithm approach to multi-objective optimization problemsIncremental Multiple Objective Genetic Algorithms (IMOGA).
Chen, Q, Guan, SU, Chen, Q., Guan, S.-U.
core   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

Local Crossover: A New Genetic Operator for Grammatical Evolution

Algorithms
The presented work outlines a new genetic crossover operator, which can be used to solve problems by the Grammatical Evolution technique. This new operator intensively applies the one-point crossover procedure to randomly selected chromosomes with the ...
Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis   +2 more
doaj   +1 more source

Qualified Genetic Algorithms for Images Smoothing [PDF]

المجلة العراقية للعلوم الاحصائية, 2008
Four types of algorithms are suggested in this paper to smooth images; three of them work in the special domain and the fourth works in the frequency domain.
doaj   +1 more source

The Genetic Flock Algorithm

Procedia Computer Science, 2013
AbstractThe purpose of this paper is to describe and evaluate a new algorithm for optimization. The new algorithm is named the Genetic Flock Algorithm. This algorithm is a type of hybrid of a Genetic Algorithm and a Particle Swarm Optimization Algorithm. The paper discusses strengths and weaknesses of these two algorithms.
Jeffrey Brooks, David L. Hibler
openaire   +1 more source

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

GENETIC ALGORITHMS OF WORK DISTRIBUTION

Вестник Донского государственного технического университета, 2018
The tasks of heterogeneous work distribution among heterogeneous executors taking into account operation and switching process costs are investigated. Genetic algorithms of work distribution that can be used for solving various practical tasks both in ...
Andrey R. Aidinyan, Olga L. Tsvetkova
doaj  

Optimization-Based Image Segmentation by Genetic Algorithms

EURASIP Journal on Image and Video Processing, 2008
Many works in the literature focus on the definition of evaluation metrics and criteria that enable to quantify the performance of an image processing algorithm.
Rosenberger C, Emile B, Laurent H, Chabrier S   +3 more
doaj   +2 more sources

Learning the dominance in diploid genetic algorithms for changing optimization problems [PDF]

, 2007
Using diploid representation with dominance scheme is one of the approaches developed for genetic algorithms to address dynamic optimization problems.
Yang, S, Yang, Shengxiang
core