Summary of CCS516 COMPUTATIONAL INTELLIGENCE

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CCS516 COMPUTATIONAL INTELLIGENCE

Lecturer: UMI KALSOM BINTI YUSOF PROFESOR MADYA DR.
Lecturer: WONG LI PEI PROFESOR MADYA DR.

Skill Level: Beginner

Course Information

Announcements

CCS516 Forum

Main Reference URL

Course Plan

CCS516 CoursePlan 2022 2023 v01.1

Introduction to Computational Intelligence

Introduction to Computational Intelligence

Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn

An Introduction to Fuzzy Logic

An Egg-Boiling Fuzzy Logic Robot

What is Evolutionary Computation? | Cognizant

Genetic Algorithm Example

Genetic Algorithms Explained By Example

Evolutionary Computation

Evolutionary Computation - Part 1

Class Activity - The 8-queens Problem

Evolutionary Computation - Part 2

Evolutionary Computation - Part 3

FPS

20230911 CCS516 KSCP (recorded video)

20230913 CCS516 KSCP (recorded video)

Evolutionary Algorithm Variants

Evolutionary Algorithm Variants

Class Activity - An Evolutionary Cycle by Hand

Evolutionary Algorithms as Problem Solvers

Evolutionary Algorithms as Problem Solvers

P Versus NP

Parameter Tuning and Control in Evolutionary Algorithms

Parameter Tuning

Parameter Control

Karafotias, G., Hoogendoorn, M., &amp; Eiben, Á. E. (2015). Parameter control in evolutionary algorithms: Trends and challenges. IEEE Transactions on Evolutionary Computation, 19(2), 167-187

Eiben A.E., Smit S.K. (2011) Evolutionary Algorithm Parameters and Methods to Tune Them. In: Hamadi Y., Monfroy E., Saubion F. (eds) Autonomous Search. Springer, Berlin, Heidelberg

Swarm Intelligence

Ant Colony Optimization

Bee Colony Optimization

Solving TSP with ACO

Ant Colony Optimization Demo

ACO BCO Transition Rule

Multiobjective Evolutionary Algorithms

Multiobjective Evolutionary Algorithms

Hyper-heuristics

Hyper-heuristis

Z3 Recent Advances in Selection Hyper-heuristics

Week 9: Fuzzy Sets

Week 8 Discussion Padlet

Topic 10 Fuzzy Sets

Week 10: Fuzzy Relations and Fuzzy Logic Inference

Week 10 Discussion Padlet

11 Fuzzy Relation and Fuzzy Logic System

Week 11: Artificial Neural Networks

Week 11 Discussion Padlet

12 Artificial Neural Networks

Week 12: Neural Networks Learning Rules

Week 12 Discussion Padlet

13 Neural Networks Learning Rules

Week 13: Deep Learning

Week 13 Discussion Padlet

14 Deep Learning [updated with exercise solution]

Week 14: Hybrid Intelligent Systems

Week 14 Discussion Padlet

15 Hybrid Intelligent Systems

CCS516 COMPUTATIONAL INTELLIGENCE

Karafotias, G., Hoogendoorn, M., & Eiben, Á. E. (2015). Parameter control in evolutionary algorithms: Trends and challenges. IEEE Transactions on Evolutionary Computation, 19(2), 167-187