Central Iowa Software Symposium
May 13 - 14, 2022
Genetic Algorithms For Evolutionary Computing
Saturday - May 14 2:45 PM CDT - DALLAS
Genetic algorithms are a nonlinear optimization technique. They encode a set of solutions, called a population, that are evaluated using a fitness function. Successful solutions are chosen to form new solutions, called offspring, through a process called crossover. In each generation, random mutations are introduced as well, to maintain a good level of genetic diversity. In addition to the basic concepts, examples will be shown in Java using the Jenetics library.
This talk will show several problems that are ideally suited to genetic algorithms, including the Traveling Salesman Problem, Ant Colony Optimization, the Knapsack Problem, and more.
Kenneth Kousen
President, Kousen IT, Inc.
About Kenneth Kousen
Ken Kousen is a Java Champion, several time JavaOne Rock Star, and a Grails Rock Star. He is the author of the Pragmatic Library books “Mockito Made Clear” and “Help Your Boss Help You,” the O'Reilly books “Kotlin Cookbook”, “Modern Java Recipes”, and “Gradle Recipes for Android”, and the Manning book “Making Java Groovy”. He also has recorded over a dozen video courses for the O'Reilly Learning Platform, covering topics related to Android, Spring, Java, Groovy, Grails, and Gradle.
His academic background include BS degrees in Mechanical Engineering and Mathematics from M.I.T., an MA and Ph.D. in Aerospace Engineering from Princeton, and an MS in Computer Science from R.P.I. He is currently President of Kousen IT, Inc., based in Connecticut.