S. L. Patekar, G. Kakandikar, V. Nandedkar, Genetic Algorithm and its Applications to Mechanical Engineering: A Review, Materials Today: Pro- ceedings 2 (4-5) (2015) 2624-2630. doi:10.1016/j.matpr.2015.07.219. URL https://linkinghub.elsevier.com/retrieve/pii/S2214785315004642...
This article introduces the genetic algorithm (GA) as an emerging optimization algorithm for signal processing. After a discussion of traditional optimization techniques, it reviews the fundamental operations of a simple GA and discusses procedures to improve its functionality. The properties of the GA ...
H. Ishii, H. Shiode, T. Murata: A multiobjective genetic local search algorithm and its application to flowshop scheduling, IEEE Trans. Syst. Man Cyber.28, 392–403 (1998) ArticleGoogle Scholar M. Gen, J. R. Kim: GA-based Optimization of Reliability Design. In:Evolutionary Design by...
A novel quantum genetic algorithm and its application Ge-xiang Zhang,Na Li,Wei-dong Jin,Lai-zhao Hu.Novel Quantum Genetic Algorithm and Its Applications[J]. Frontiers of Electrical and Electronic Engineering... Z Sheng,W Jiang - Eighth International Conference on Natural Computation 被引量: 96发...
optimizationproblems.TheresearchinterestsinGAslieinbothitstheoryand application.Ononehand,variousmodificationshavebeenmadeonearlyGAstoallow themtosolveproblemsfaster,moreaccuratelyandmorereliably.Ontheotherhand,GA isusedtosolvecomplicateddesignoptimizationproblemsindifferentapplications. ...
(1994). Gavaps - a genetic algorithm with varying population size. In Proceedings of the First IEEE International Conference on Evolutionary Computing, pages 73–78. IEEE Press. Google Scholar Back, T. (1992a). The interaction of mutation rate, selection and self-adaptation within a genetic ...
A hierarchy in mutation of genetic algorithm and its application to multi-objective analog/RF circuit optimization This paper presents a multi-objective analog circuit design optimization tool using genetic algorithm based on hierarchical mutation scheme. The idea is to... ATG Dash - 《Analog Integrat...
The evolutionary computing methods are highly capable of extracting meaning from imprecise data and detecting trends that are too complex to be discovered by either humans or other conventional techniques. For that purpose, this paper proposes an intelligent model based on Genetic Algorithm (GA) to ...
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by Kennedy and Eberhart in 1995. It is now one of the most... Y Zhang,S Wang,G Ji - 《Mathematical Problems in ...
Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning. data-science machine-learning data-mining deep-learning genetic-algorithm deep-reinforcement-learning machine-learning-from-scratch ...