Evolutionary algorithms | Metaheuristics

Minimum Population Search

In evolutionary computation, Minimum Population Search (MPS) is a computational method that optimizes a problem by iteratively trying to improve a set of candidate solutions with regard to a given measure of quality. It solves a problem by evolving a small population of candidate solutions by means of relatively simple arithmetical operations. MPS is a metaheuristic as it makes few or no assumptions about the problem being optimized and can search very large spaces of candidate solutions. For problems where finding the precise global optimum is less important than finding an acceptable local optimum in a fixed amount of time, using a metaheuristic such as MPS may be preferable to alternatives such as brute-force search or gradient descent. MPS is used for multidimensional real-valued functions but does not use the gradient of the problem being optimized, which means MPS does not require for the optimization problem to be differentiable as is required by classic optimization methods such as gradient descent and quasi-newton methods. MPS can therefore also be used on optimization problems that are not even continuous, are noisy, change over time, etc. (Wikipedia).

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#21. Finding the Sample Size Needed to Estimate a Population Proportion using StatCrunch

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From playlist Statistics Final Exam

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This video shows how to find the range for a given set of data. Remember to take the maximum value and subtract the minimum value. For more videos visit http://www.mysecretmathtutor.com

From playlist Statistics

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Maximum and Minimum Values (Closed interval method)

A review of techniques for finding local and absolute extremes, including an application of the closed interval method

From playlist 241Fall13Ex3

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Find the Minimum and Maximum Usual Values

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From playlist Statistics

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Finding the Class Limits, Width, Midpoints, and Boundaries from a Frequency Table

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Finding the Class Limits, Width, Midpoints, and Boundaries from a Frequency Table

From playlist Statistics

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#16. Find the Relative Minimum from the Graph

#16. Find the Relative Minimum from the Graph

From playlist College Algebra Final Exam Playlist (Version 2)

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How to Find a Sample Size

How to find a sample size using a variety of techniques: 0:00 Overview 0:17 Census 1:25 Literature Review 1:46 Tables 3:08 Cochran's Formula 4:24 Yamane's Formula 7:10 Formula for Sample Mean

From playlist Find Sample Size

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Binary Genetic Algorithm - Part 1: Introduction

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From playlist Optimization

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Lecture 22 - Phylogenic Trees

This is Lecture 22 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/lecture22.pdf More inf

From playlist CSE549 - Computational Biology - 2010 SBU

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From playlist Optimization

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Particle Swarm Optimization - Part 3: Local Best PSO

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From playlist Optimization

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More resources available at www.misterwootube.com

From playlist Data Analysis

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Tableau Functions Tutorial | Tableau Functions With Examples | Tableau Training | Edureka

(** Tableau Certification Training: https://www.edureka.co/tableau-certification-training **) Tableau can create interactive visualizations customized for the target audience. In this "Tableau Functions" tutorial from Edureka, you will learn about the various function and their calculation

From playlist Tableau Training Videos | Tableau Tutorial Videos | Data Visualisation using Tableau | Edureka

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From playlist Tableau Training Videos | Tableau Tutorial Videos | Data Visualisation using Tableau | Edureka

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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

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Hypothesis Test: Two Population Proportions

This video explains how to conduct a hypothesis test on two population proportions. http://mathispower4u.com

From playlist Hypothesis Test with Two Samples

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Particle Swarm Optimization (PSO) - Part 1: Introduction

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From playlist Optimization

Related pages

Particle swarm optimization | Metaheuristic | Quasi-Newton method | Differential evolution | Mathematical optimization | Estimation of distribution algorithm | Simulated annealing | Brute-force search | Gradient | Optimization problem | Gradient descent | Evolutionary computation | Continuous function