BCAM Course | Multiobjective Optimization using Metaheuristics

Zoom link: https://us06web.zoom.us/j/84790830379?pwd=PvK1wmfnr2b3QXX5n0MfpNT4Nny2WJ.1

The course will cover the fundamental concepts related to multi-objective optimization, as well as different techniques to solve these problems and also a number of standard techniques that are used throughout to assess performance of multi-objective  metaheuristics. Although the course will emphasize the research work done on multi-objective evolutionary algorithms, it will also put light on other bio-inspired metaheuristics (e.g., particle swarm optimizers, tabu search, artificial immune systems, and differential evolution, among others).

The schedule of the course will be:

• 9:15hrs to 11:15hrs (May 6th to May 9th)

• 9:15hrs to 10:55hrs (May 10th)

Topics to be covered include:

• Basic Concepts
• A review of multi-objective evolutionary algorithms
• Techniques to maintain diversity
• Test problems
• Performance indicators
• Hybrid approaches
• Other bio-inspired metaheuristics