Get updates on Eligibility, Admission, Placements Fees Structure
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
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)
This course comes under Mechanical/Computational Engineering, Computational Thermo-Fluids, and Mechanics.
The course curriculum is of the postgraduate level.
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.
You can avail of the certificate after paying the examination fee of Rs. 1000.
No, candidates will only get the e-copy.