Variable Search Space Converging Genetic Algorithm for Solving System of Non-linear Equations
This paper introduce a new variant of the Genetic Algorithm whichis developed to handle multivariable, multi-objective and very high search space optimization problems like the solving system of non-linear equations. It is an integer coded Genetic Algorithm with conventional cross over and mutation...
Saved in:
Main Authors: | SS Venkatesh, Mishra Deepak |
---|---|
Format: | article |
Language: | EN |
Published: |
De Gruyter
2020
|
Subjects: | |
Online Access: | https://doaj.org/article/cf041b07e80f4acfac6b117f493b7a9f |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
CFD Simulations and External Shape Optimization of Missile with Wing and Tailfin Configuration to Improve Aerodynamic Performance
by: A. Şumnu, et al.
Published: (2021) -
Multi-objective optimization of time-cost-quality in construction projects using genetic algorithm
by: Isikyildiz,Setenay, et al.
Published: (2020) -
A new approach to solve the distribution system planning problem considering automatic reclosers
by: Montoya G.,Oscar D., et al.
Published: (2017) -
Sustainable layout design of steel buildings through embodied energy and costs optimization
by: Ahmed M. Elsayed, et al.
Published: (2021) -
A Multi-Objective Particle Swarm Optimization for Trajectory Planning of Fruit Picking Manipulator
by: Xiaoman Cao, et al.
Published: (2021)