IAS

Interactive Autodidactic School (IAS) algorithm

a Simple Python Implementation of IAS optimization algorithm

IAS is a population-based algorithm on the basis of the interactions between students in an autodidactic school with the goal of increasing their knowledge through a combination of self-teaching/self-learning, interactive discussion, criticism, and the competition.

Dependencies

• numpy
• matplotlib

Tested Examples

• The Easom Function
• The Six-Hump Camel Function
• The Booth Function
• The Sphere Function
• The Schwefel2 function
• The Rastrigin function

Click Here for Jupyter Notebook Demo

About code

This simple code is based on the paper Interactive autodidactic school: A new metaheuristic optimization algorithm for solving mathematical and structural design optimization problems, recently published in Cumputers & Structures, Proposed by M. Jahangiri, M. A. Hadianfard, M. A. Najafgholipour, M. Jahangiri and M. R. Gerami.

Amir Hossein Namadchi, May 202