A genetic operator is an operator used in genetic algorithms to guide the algorithm towards a solution to a given problem. There are three main types of operators (mutation, crossover and selection), which must work in conjunction with one another in order for the algorithm to be successful. Genetic operators are used to create and maintain genetic diversity (mutation operator), combine existing solutions (also known as chromosomes) into new solutions (crossover) and select between solutions (selection). In his book discussing the use of genetic programming for the optimization of complex problems, computer scientist John Koza has also identified an 'inversion' or 'permutation' operator; however, the effectiveness of this operator has never been conclusively demonstrated and this operator is rarely discussed. Mutation (or mutation-like) operators are said to be unary operators, as they only operate on one chromosome at a time. In contrast, crossover operators are said to be binary operators, as they operate on two chromosomes at a time, combining two existing chromosomes into one new chromosome. (Wikipedia).
Arithmetic, Rational, Logical Operators - Introduction to R Programming - Part 4
Operators are not only useful for doing calculations on data but can also be used to compare values or set up conditions for values. Learn the 3 main types of operators: arithmetic, rational, and logical. -- Learn more about Data Science Dojo here: https://datasciencedojo.com/data-science-
From playlist Introduction to R Programming
Operators In C Programming | Arithmetic And Logical Operators In C | C Programming | Simplilearn
This video by Simplilearn will explain to you about Operators In C Programming. This Operators In C Programming tutorial will help you learn Arithmetic, Relational, Logical Operators In C, bitwise, and assignment operators in C. This C programming tutorial will cover both theoretical and p
From playlist C++ Tutorial Videos
Homomorphisms in abstract algebra
In this video we add some more definition to our toolbox before we go any further in our study into group theory and abstract algebra. The definition at hand is the homomorphism. A homomorphism is a function that maps the elements for one group to another whilst maintaining their structu
From playlist Abstract algebra
Bitwise Operators! C tutorial 9
and, or, xor, shifting, negation, printing the binary representation of an integer
From playlist C Tutorial
Determining if a vector is a linear combination of other vectors
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Determining if a vector is a linear combination of other vectors
From playlist Linear Algebra
Ever heard of Quantum Operators and Commutators? (Explained for Beginners)!
What is a quantum operator? And just how useful are quantum commutators? Find out how they help us understand the Ehrenfest Theorem! Hi everyone, I'm back with a new video! This time it's the first in a two-part mini-series on one of the coolest theorems in quantum mechanics - Ehrenfest's
From playlist Quantum Physics by Parth G
Abstract Algebra: The definition of a Ring
Learn the definition of a ring, one of the central objects in abstract algebra. We give several examples to illustrate this concept including matrices and polynomials. Be sure to subscribe so you don't miss new lessons from Socratica: http://bit.ly/1ixuu9W ♦♦♦♦♦♦♦♦♦♦ We recommend th
From playlist Abstract Algebra
Determine if the Binary Operation Defined by the Table is Commutative and Associative
In this video we determine whether or not a binary operation is commutative and associative. The binary operation is actually defined by a table in this example. I hope this video helps someone.
From playlist Abstract Algebra
A gentle description of a vertex algebra.
Working from the notions of associative algebras, Lie algebras, and Poisson algebras we build the idea of a vertex algebra. We end with the proper definition as well as an "intuition" for how to think of the parts. Please Subscribe: https://www.youtube.com/michaelpennmath?sub_confirmation
From playlist Vertex Operator Algebras
Machine Learning Control: Genetic Algorithms
This lecture provides an overview of genetic algorithms, which can be used to tune the parameters of a control law. Machine Learning Control T. Duriez, S. L. Brunton, and B. R. Noack https://www.springer.com/us/book/9783319406237 Closed-Loop Turbulence Control: Progress and Challenges
From playlist Data-Driven Control with Machine Learning
Machine Learning Control: Genetic Programming
This lecture explores the use of genetic programming to simultaneously optimize the structure and parameters of an effective control law. Machine Learning Control T. Duriez, S. L. Brunton, and B. R. Noack https://www.springer.com/us/book/9783319406237 Closed-Loop Turbulence Control: Pr
From playlist Data-Driven Control with Machine Learning
Integrating Generic and Genetic Explanations of Development
In a Franke Program in Science and the Humanities lecture, Alan Love, Associate Professor of Philosophy at the University of Minnesota, spoke on "Integrating Generic and Genetic Explanations of Development".
From playlist Franke Program in Science and the Humanities
Collective movement and the evolution of cooperation by Vishwesha Guttal
The Third Bangalore School on Population Genetics and Evolution DATE:05 March 2018 to 17 March 2018 VENUE:Ramanujan Lecture Hall, ICTS Bangalore. No living organism escapes evolutionary change. Evolutionary biology thus connects all biological disciplines. To understand the processes dri
From playlist Third Bangalore School on Population Genetics and Evolution
Automated Design Using Darwinian Evolution and Genetic Programming
(February 18, 2009) John Koza describes an automated "What You Want Is What You Get" process for designing complex structures based on the principles of natural selection, sexual recombination, and developmental biology. Stanford University: http://www.stanford.edu/ Stanford School of En
From playlist Engineering
Kuang Xu: How to make (and keep) genetic data private
An expert in genetic privacy says there’s a fine line between one’s right to know and another’s right to not know. One underappreciated fact about the explosion in genetic databases, like consumer sites that provide information about ancestry and health, is that they unlock valuable insigh
From playlist The Future of Everything
What Darwin won't tell you about evolution - with Jonathan Pettitt
How did the complexity of life evolve? Was it via finely-tuned natural selection, or a more messy process altogether? Watch the Q&A for this video here: https://youtu.be/TS3uyVtuZGI Subscribe for regular science videos: http://bit.ly/RiSubscRibe In this talk, Jonathan Pettitt explains h
From playlist Ri Talks
Polygenic Adaptation in Large Finite Populations by Kavita Jain
DISCUSSION MEETING 8TH INDIAN STATISTICAL PHYSICS COMMUNITY MEETING ORGANIZERS: Ranjini Bandyopadhyay (RRI, India), Abhishek Dhar (ICTS-TIFR, India), Kavita Jain (JNCASR, India), Rahul Pandit (IISc, India), Samriddhi Sankar Ray (ICTS-TIFR, India), Sanjib Sabhapandit (RRI, India) and Prer
From playlist 8th Indian Statistical Physics Community Meeting-ispcm 2023
5. How Selection Changes the Genetic Composition of Population
Principles of Evolution, Ecology and Behavior (EEB 122) Genetics controls evolution. There are four major genetic systems, which are combinations of sexual/asexual and haploid/diploid. In all genetic systems, adaptive genetic change tends to start out slow, accelerate in the middle, and
From playlist Evolution, Ecology and Behavior with Stephen C. Stearns
Sets might contain an element that can be identified as an identity element under some binary operation. Performing the operation between the identity element and any arbitrary element in the set must result in the arbitrary element. An example is the identity element for the binary opera
From playlist Abstract algebra