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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The field of evolutionary computation is derived from Darwin’s theory of evolution and applies the principles of evolution to computational intelligence. The online course on Evolutionary Computation for Single and Multi-Objective Optimization by Swayam will help candidates master this technique to solve complex optimization problems.

The Evolutionary Computation for Single and Multi-Objective Optimization training is an eight-week course provided by IIT Guwahati. It is available for free enrolment on Swayam. After completing this course, candidates will be able to offer solutions to large-scale optimization problems arising in industries and research. Throughout the course, candidates will build and experiment with various types of EC designs.

This Evolutionary Computation for Single and Multi-Objective Optimization online course is an FDP course approved by AICTE. Some of the topics covered by the faculty include evolutionary algorithms, particle swarm optimization, binary and real-coded algorithms, and statistical assessments. After completing the syllabus, candidates can opt to appear for the final exam and receive the certificate.

The Highlights

Industry support
AICTE-approved FDP
IIT Guwahati program
Online learning
Certificate of completion
Free online program
Eight weeks duration
Postgraduate level
Experienced faculty

Programme Offerings

E-verifiable certificate
IIT Guwahati program
FDP
AICTE-approved
Eight weeks
PG level
online learning
regular assessments
offline exam
Projects
Study material

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 1000	yes	IIT Guwahati (IITG)

The course is free for enrolment, and there is an Evolutionary Computation certification fee only for those who wish to avail of the certificate.

Evolutionary Computation for Single and Multi-Objective Optimization fee structure

Course	Total Fee
Evolutionary Computation for Single and Multi-Objective Optimization	Free
Evolutionary Computation for Single and Multi-Objective Optimization certification	Rs. 1000

Eligibility Criteria

Candidates must be adept in elementary mathematics and programming if they wish to enrol in the Evolutionary Computation certification course.

Certificate Qualifying Details

Also, candidates need to fulfill separate eligibility criteria to receive the certificate. The candidates who achieve >= 10/25 marks in their average assignment score and >= 30/75 marks in their final exam will get the Evolutionary Computation for Single and Multi-Objective Optimization certification.

What you will learn

Knowledge of genetics

Candidates who complete the Evolutionary Computation for Single and Multi-Objective Optimization training will gain proficiency in concepts such as:

Principles of evolutionary computation
Natural evolution and genetics
Advantages and disadvantages of EC
Particle swarm optimization
Operators of differential evolution

Who it is for

The Evolutionary Computation for Single and Multi-Objective Optimization course by Swayam is ideal for college students in their final and pre-final year and candidates working in industries.

Admission Details

Click on the link given ahead to enrol in the Evolutionary Computation for Single and Multi-Objective Optimization training:

Step: 1 Once you have gone through the course details, locate the “Sign in/ Register” option at the top right corner and click on it.

Step: 2 Here, you can either log in if you already have a Swayam account or create a new one.

Step: 3 Login to Swayam with your username and password or via your Microsoft, Google, or Facebook account

Step: 4 You can create a new account by entering your username, email address, and password.

Step: 5 Begin the course after a successful registration.

Application Details

There is no Evolutionary Computation online course application form. Candidates can register by creating an account on Swayam. To do this, enter your email ID, username, and password.

The Syllabus

Introduction and Principles of Evolutionary Computation (EC)

Generalized Formulation
Characteristic of Optimisation Functions
Generalized Framework
Advantages and Limitations
Introduction to Optimisation
Scope of Optimisation via Applications
Principles of EC: Natural Evolution and Genetics
Behavior and Typical run of EC

Binary-Coded Genetic Algorithm (BGA)

Binary Representation and Decoding
BGA on Generalised Framework
Hand calculation
Examples
Case studies
Introduction
Working Principle of binary-coded GA (BGA)
Operators

Real-Coded Genetic Algorithm (RGA)

Algorithm
Operators
Case studies and Graphical examples
Concepts and Need of Real-Coded GA (RGA)
RGA on Generalised Framework
Hand Calculations

Other EC Techniques: Differential Evolution (DE)

Concepts
Introduction
Algorithms
Particle Swarm Optimisation (PSO): Introduction
Graphical Examples
PSO on Generalised Framework
DE on Generalised Framework
Operators
Case studies

Constraint Handling Techniques

Karush Kuhn Tucker (KKT) conditions
Parameter-Less Deb’s Method
Graphical Examples
Generalized Constraint Formulation
Penalty Function Method
Hand Calculations
Case Studies

Introduction to Multi-Objective Optimisation

Introduction
Concept of Dominance and Pareto-optimality
Terminologies
Approaches to multi-objective optimization
Generalized Formulation
Graphical Examples
The difference with single-objective optimization

Classical Multi-Objective Optimisation Methods

ε-Constraint Method
Hand Calculations
Ideal Multi-Objective Optimisation Approach
Classical Multi-Objective Optimisation Methods: Weighted- Sum Method
Weighted Metric Methods
Difficulties with Classical approaches

Multi-Objective Evolutionary Algorithms (MOEAs)

Introduction
Algorithms: NSGA-II, SPEA2
Case Studies
MOEAs on generalized Framework
Graphical Examples
Hypervolume Indicator (HV) for Performance Assessment

Evaluation process

Candidates can receive the certificate after appearing for the offline final exam and scoring at least 30/75 marks along with a minimum of 10/25 average score in the assignments. The exam is held at an offline Swayam center and is proctored. Candidates can register for the exam by paying Rs. 1,000. The details regarding the examination date will be communicated with the students in due course.

Instructors

IIT Guwahati (IITG) Frequently Asked Questions (FAQ's)

1: What is the course category?

This course comes under Mechanical/Computational Engineering, Computational Thermo-Fluids, and Mechanics.

2: What is the curriculum type?

The course curriculum is of the postgraduate level.

3: Is there any practical learning?

Candidates will get to build and experiment with their projects. They will also learn from numerous case studies, graphical illustrations, and examples in every module.

4: What is the price of the certificate?

You can avail of the certificate after paying the examination fee of Rs. 1000.

5: Will I get a hard copy of the certificate?

No, candidates will only get the e-copy.