Learn · Evolutionary Computation For Single And Multi-Objective Optimization
Lecture 17 of 28Week 6: Introduction to Multi-Objective Optimization
Lec 17 : Introduction to Multi-Objective Optimization: Part 1
Prof. Deepak Sharma · IIT Guwahati
Credits and licence
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- Evolutionary Computation For Single And Multi-Objective Optimization, IIT Guwahati (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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- Tweens profiles and older. How courses are placed
All the lectures
- Lec 1 : Introduction to Optimization
- Lec 2 : Introduction to Evolutionary Computation
- Lec 3 : Binary-Coded Genetic Algorithm (BGA)
- Lec 4 : Operators and Simulations of Binary-Coded Genetic Algorithm
- Lec 5 : Real-Coded Genetic Algorithm (RGA)
- Lec 6 : Operators and Simulations of Real-Coded Genetic Algorithm
- Lec 7 : Algorithmic Implementation of BGA and RGA
- Lec 8 : Particle Swarm Optimization (PSO)
- Lec 9 : Simulations and Algorithmic Implementation of Particle Swarm Optimization
- Lec 10 : Differential Evolution (DE)
- Lec 11 : Simulations and Algorithmic Implementation of Differential Evolution
- Lec 12 : Constrained Optimization: Introduction and Optimality
- Lec 13 : Penalty Function Methods for Evolutionary Computing Techniques
- Lec 14 : Evolutionary Computing Techniques: Separation of Objective Function and Constraints
- Lec 15 : Simulations of Constraint Handling Techniques: Part 1
- Lec 16 : Simulations of Constraint Handling Techniques: Part 2
- Lec 17 : Introduction to Multi-Objective Optimization: Part 1
- Lec 18 : Introduction to Multi-Objective Optimization: Part 2
- Lec 19 : Multi-Objective Optimization: Ranking and Diversity
- Lec 20 : Classical Multi-Objective Optimization Methods
- Lec 21 : Non-Dominated Genetic Algorithm: NSGA-II: Introduction
- Lec 22 : Non-Dominated Genetic Algorithm: NSGA-II: Simulations
- Lec 23 : Strength Pareto Evolutionary Algorithm: SPEA2: Introduction
- Lec 24 : Strength Pareto Evolutionary Algorithm: SPEA2: Simulations
- Lec 25 : Performance Assessment of Multi-Objective EC Techniques
- Lec 26 : Closure of EC for Single and Multi-Objective Optimization
- Live Session 26-02-2021
- Live Session 18-03-2021