9.1: Genetic Algorithm: Introduction - The Nature of Code
Welcome to part 1 of a new series of videos focused on Evolutionary Computing, and more specifically, Genetic Algorithms. In this tutorial, I introduce the concept of a genetic algorithm, how it can be used to approach "search" problems and how it relates to brute force algorithms. 🎥 Next
From playlist Session 2 - Genetic Algorithms - Intelligence and Learning
Support Stated Clearly on Patreon: https://www.patreon.com/statedclearly Evolution is often considered a complex and controversial topic but it's actually a very simple concept to understand. Watch this short animation to see how evolution works. Share it with your friends on Facebook who
From playlist Genetics and Evolution
9.10: Genetic Algorithm: Continuous Evolutionary System - The Nature of Code
In this video, I apply the Genetic Algorithm to an "Ecosystem Simulation", a system in which models biological life more closely, where elements live and die continuously evolving over time. 💻Code : https://github.com/CodingTrain/Rainbow-Code 🎥Previous video : https://youtu.be/Zy_obitkyO
From playlist Session 2 - Genetic Algorithms - Intelligence and Learning
Searching and Sorting Algorithms (part 4 of 4)
Introductory coverage of basic searching and sorting algorithms, as well as a rudimentary overview of Big-O algorithm analysis. Part of a larger series teaching programming at http://codeschool.org
From playlist Searching and Sorting Algorithms
Lecture: Linear Programming and Genetic Algorithms
We consider a number of more advanced optimization algorithms that include the genetic algorithm and linear programming for constrained optimization.
From playlist Beginning Scientific Computing
Stanford Course - Genetic Engineering & Biotechnology
Preview the online course: Genetic Engineering and Biotechnology (XGEN203) More info: http://geneticscertificate.stanford.edu/courses/genetic-engineering-and-biotechnology.php The co-evolution of genetic engineering and biotechnology in the last 30+ years has allowed for groundbreaking fi
From playlist Genetics & Genomics
Using the inverse of an exponential equation to find the logarithm
👉 Learn how to convert an exponential equation to a logarithmic equation. This is very important to learn because it not only helps us explain the definition of a logarithm but how it is related to the exponential function. Knowing how to convert between the different forms will help us i
From playlist Logarithmic and Exponential Form | Learn About
Stanford Seminar - Computer-designed organisms - Josh Bongard
Josh Bongard University of Vermont April 22, 2020 View the full playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu #computer #computers
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
The Evolution of Evolutionary Architecture - Rebecca Parsons
From OSCON 2015 in Amsterdam: Evolutionary architecture—also known as just-in-time architecture—is not as horrifying to mainstream developers and software architects as it once was. The techniques have evolved, as has our ability to maintain various capabilities using an evolutionary appro
From playlist OSCON - Amsterdam 2015
Lecture 1: Combinatorial problems on trees inside phylogenetic networks
🌟There is a further part to this video. If you are interested in, watch the next video🌟 ➔ https://youtu.be/y1UfsYTrlXo This video is one of the two introductory lectures (Introduction to Discrete Mathematical Biology) given by Momoko Hayamizu as part of an omnibus lecture series "Advanced
From playlist 2020 Advanced Topic in Modern Mathematical Sciences 2
How do we make and compare phylogenetic trees
This video talks about the procedures we use to reconstruct (estimate) phylogenetic trees from data that we have available. The criteria of parsimony, maximum likelihood, and Bayesian probabilities are contrasted. Lastly, the using of bootstrapping to indicate degrees of confidence in tree
From playlist TAMU: Bio 312 - Evolution | CosmoLearning Biology
Lec 25 | MIT 7.012 Introduction to Biology, Fall 2004
Genomics (Prof. Eric Lander) View the complete course: http://ocw.mit.edu/7-012F04 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 7.012 Introduction to Biology, Fall 2004
33. Evolutionary Game Theory: Fighting and Contests
Principles of Evolution, Ecology and Behavior (EEB 122) The economic concept of game theory can be readily applied to evolution and behavior. By analyzing encounters between organisms as a mathematical "game," important information such as fitness payoffs and the proportions of "strateg
From playlist Evolution, Ecology and Behavior with Stephen C. Stearns
Sriram Sankararaman: "Evolutionary Models in Population Genomics"
Computational Genomics Summer Institute 2016 "Evolutionary Models in Population Genomics" Sriram Sankararaman, UCLA Institute for Pure and Applied Mathematics, UCLA July 22, 2016 For more information: http://computationalgenomics.bioinformatics.ucla.edu/
From playlist Computational Genomics Summer Institute 2016
John Novembre - Methods for demographic inference from genomic scale data
PROGRAM: School and Discussion Meeting on Population Genetics and Evolution PROGRAM LINK: http://www.icts.res.in/program/PGE2014 DATES: Saturday 15 Feb, 2014 - Monday 24 Feb, 2014 VENUE: Physics Auditorium, IISc, Bangalore Just as evolution is central to our understanding of biology, p
From playlist School and Discussion Meeting on Population Genetics and Evolution
Experts in Emotion 4.1 -- Leda Cosmides & John Tooby on Evolution and Emotion
Experts in Emotion Series; June Gruber, Yale University In this episode, Dr. June Gruber will speak about Evolution and Emotion with Drs. Leda Cosmides and John Tooby from U.C. Santa Barbara. Drs. Cosmides and Tooby will share what first got them interested in this topic and highlight a
From playlist Experts in Emotion Series with June Gruber
The growth of evolutionary architecture - Interview with Rebecca Parsons
Rebecca Parsons, CTO at ThoughtWorks, explains what evolutionary architecture is, and the enablers that have allowed evolutionary architecture to grow. Parsons also discusses the difference between evolutionary and emergent architecture, and shares her thoughts on how she sees evolutionary
From playlist O'Reilly Software Architecture Conference 2016 - New York, New York
9.2: Genetic Algorithm: How it works - The Nature of Code
In part 2 of this genetic algorithm series, I explain how the concepts behind Darwinian Natural Selection are applied to a computational evolutionary algorithm. 🎥 Previous video: https://youtu.be/9zfeTw-uFCw?list=RxTfc4JLYKs&list=PLRqwX-V7Uu6bJM3VgzjNV5YxVxUwzALHV 🎥 Next video: https://yo
From playlist Session 2 - Genetic Algorithms - Intelligence and Learning
Discovering the tree of life | California Academy of Sciences
How do you read the history of life? Scientists depict relationships among species as branches in the tree of life. Discover how evolutionary lineages are linked through a shared history. - - - The California Academy of Sciences is the only place in the world with an aquarium, planetar
From playlist Evolution | High School Biology | Khan Academy