In subject area:Computer Science A genetic algorithm is a method used in computer science to solve problems by evolving a population of candidate solutions through natural selection and genetic-inspired operator
Computer-aided designThis paper describes progress in research into the development of a computer-aided design (CAD) tool that aids designers in generating the form of a product by the use of evolutionary techniques. Genetic algorithm (GA) software has been developed and combined with a commercial...
[2] N. Arfandi, Faizah. 2013. Implementation of genetic algorithm for student placement process of community development program in Universitas Gadjah Mada.Journal of Computer Science and Information. 6(2): 70–75. [3] T. Suratno, N. Rarasati, Z. Gusmanely. 2019. Optimization of genetic a...
One of the advanced algorithms in the field of computer science is Genetic Algorithm inspired by the Human genetic process of passing genes from one generation to another.It is generally used for optimization purpose and is heuristic in nature and can be used at various places. For eg – ...
[2] N. Arfandi, Faizah. 2013. Implementation of genetic algorithm for student placement process of community development program in Universitas Gadjah Mada. Journal of Computer Science and Information. 6(2): 70–75. [3] T. Sura...
data-science machine-learning data-mining deep-learning genetic-algorithm deep-reinforcement-learning machine-learning-from-scratch Updated Oct 15, 2023 Python nfmcclure / tensorflow_cookbook Star 6.2k Code Issues Pull requests Code for Tensorflow Machine Learning Cookbook nlp machine-learning neura...
In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic...
Microcavities enable the generation of highly efficient microcombs, which find applications in various domains, such as high-precision metrology, sensing, and telecommunications. Such applications generally require precise control over the spectral featu
(2015). Genetic Algorithm Framework for Bi-objective Task Scheduling in Cloud Computing Systems. In: Natarajan, R., Barua, G., Patra, M.R. (eds) Distributed Computing and Internet Technology. ICDCIT 2015. Lecture Notes in Computer Science, vol 8956. Springer, Cham. https://doi.org/...
A simple genetic algorithm is an exploratory search and optimization procedure in computer science that mimics natural evolution by using genetic operations like reproduction, crossover, and mutation on a population of genotype strings to find solutions to problems. ...