A guided search non-dominated sorting genetic algorithm for the multi-objective university course timetabling problem [PDF]
Copyright @ Springer-Verlag Berlin Heidelberg 2011.The university course timetabling problem is a typical combinatorial optimization problem. This paper tackles the multi-objective university course timetabling problem (MOUCTP) and proposes a guided ...
Yang, S +5 more
core +1 more source
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
A NEW MULTI-FREQUENCY VIBRATIONAL GENETIC ALGORITHM IN RADAR CROSS SECTION MINIMIZATION PROBLEMS
Within this study, it is aimed to provide an efficient stochastic algorithm for different optimization problems. For this purpose, as a search method, multi frequency vibrational genetic algorithm [m-VGA] is improved and used to accelerate the genetic ...
Y. Volkan Pehlivanoğlu
doaj
Analysis of usage of genetic and tabu search algorithms in shop scheduling
A wide area of scheduling problem is industrial so-called shop scheduling (Job Shop, Flow Shop and Open Shop) which has important applications in real world industrial problems.
Edgaras Šakurovas +1 more
doaj +1 more source
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
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
An Improved NSGA-III Algorithm Using Genetic K-Means Clustering Algorithm
The non-dominated sorting genetic algorithm III (NSGA-III) has recently been proposed to solve many-objective optimization problems (MaOPs). While this algorithm achieves good diversity, its convergence is unsatisfactory.
Qingguo Liu +3 more
doaj +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
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
Optimization method of truss structure size and shape based on harmonic search genetic algorithm
In order to improve the traditional design concept and the lack of optimization of genetic algorithm, and promote the development and innovation of the shape optimization of truss structure, according to the basic principles of harmony search algorithm ...
XIE Jun +4 more
doaj
Public Transport Route Finding using a Hybrid Genetic Algorithm [PDF]
In this paper we present a public transport route finding solution based on a hybrid genetic algorithm. The algorithm uses two heuristics that take into consideration the number of trans-fers and the remaining distance to the destination station in order
Andreea DIOSTEANU, Liviu Adrian COTFAS
core
A self-organizing random immigrants genetic algorithm for dynamic optimization problems [PDF]
This is the post-print version of the article. The official published version can be obtained from the link below - Copyright @ 2007 SpringerIn this paper a genetic algorithm is proposed where the worst individual and individuals with indices close to ...
Yang, S +7 more
core +1 more source

