Genetic algorithms | Production planning | Mathematical optimization in business
Genetic algorithm scheduling
The genetic algorithm is an operational research method that may be used to solve scheduling problems in production planning. (Wikipedia).
Genetic algorithms | Production planning | Mathematical optimization in business
The genetic algorithm is an operational research method that may be used to solve scheduling problems in production planning. (Wikipedia).
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
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
Continuous Genetic Algorithm - Part 1
This video is about Continuous Genetic Algorithm - Part 1
From playlist Optimization
Scheduling: The List Processing Algorithm Part 1
This lesson explains and provides an example of the list processing algorithm to make a schedule given a priority list. Site: http://mathispower4u.com
From playlist Scheduling
Scheduling: The Decreasing Time Algorithm
This lesson explains how to use the decreasing time algorithm to create a priority list and then a schedule. Site: http://mathispower4u.com
From playlist Scheduling
Scheduling: The List Processing Algorithm Part 2
This lesson explains and provides an example of the list processing algorithm to create a digraph and make a schedule. Site: http://mathispower4u.com
From playlist Scheduling
Josh Bongard - A xither of xenobots: demolishing dichotomous thinking with synthetic proto-organisms
Recorded 17 February 2022. Josh Bongard of the University of Vermont presents "A xither of xenobots: demolishing dichotomous thinking with synthetic proto-organisms" at IPAM's Mathematics of Collective Intelligence Workshop. Learn more online at: http://www.ipam.ucla.edu/programs/workshops
From playlist Workshop: Mathematics of Collective Intelligence - Feb. 15 - 19, 2022.
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
Big data, AI, the genome, and everything (sponsored by Microsoft) Vijay Narayanan (Microsoft)
The secret of life lies in our DNA. From Mendel to discovering the double helix structure of the DNA to decoding Chromosone 22 to the completion of the Human Genome Project, innovations in the field of molecular biology and genetics have empowered humanity with great powers to change and s
From playlist Strata + Hadoop World 2017 - San Jose, California
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
Data Science - Part XIV - Genetic Algorithms
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview on biological evolution and genetic algorithms in a machine learning context. W
From playlist Data Science
This is Lecture 1 of the CSE549 (Computational Biology) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 2010. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/computationalbiology/pdf/lecture1.pdf More infor
From playlist CSE549 - Computational Biology - 2010 SBU
Live Stream #134: Introduction to Tensorflow.js
What's this TensorFlow.js? 26:37 - Intro to Tensorflow.js 1:06:25 - What is a tensor? 🔗 TensorFlow.js: https://js.tensorflow.org/ 🔗 ml5.js: https://ml5js.org 🔗 Keras: https://keras.io/ 🔗 Difference between a matrix and a tensor: https://medium.com/@quantumsteinke/whats-the-difference-bet
From playlist Live Stream Archive
Binary Genetic Algorithm - Part 1: Introduction
This video is about Binary Genetic Algorithm - Part 1: Introduction
From playlist Optimization
Sandra van Aert - 3D atomic resolution through dose-efficient fusion of image & analytical technique
Recorded 26 October 2022. Sandra van Aert of the University of Antwerp presents "3D atomic resolution reconstructions through dose-efficient fusion of imaging techniques and analytical techniques in quantitative STEM" at IPAM's Mathematical Advances for Multi-Dimensional Microscopy Worksho
From playlist 2022 Mathematical Advances for Multi-Dimensional Microscopy
Ben Raphael: "Computational Analysis of Somatic Mutations in Cancer"
Computational Genomics Summer Institute 2016 "Computational Analysis of Somatic Mutations in Cancer" Ben Raphael, Brown University Institute for Pure and Applied Mathematics, UCLA July 20, 2016 For more information: http://computationalgenomics.bioinformatics.ucla.edu/
From playlist Computational Genomics Summer Institute 2016
my first attempt at a genetic algorithm -- Watch live at https://www.twitch.tv/simuleios
From playlist Genetic Algorithms!
