Evolutionary Computation For Single And Multi-Objective Optimization

Aperçu

Delve into the innovative world of Evolutionary Computation (EC) for Single and Multi-Objective Optimization, a cutting-edge course offered by Université de Montréal in collaboration with Swayam. This comprehensive program is designed to immerse final and pre-final year undergraduate students, postgraduate students, and industry professionals in the intricacies of computational intelligence that draws inspiration from natural evolution.

Based on Darwin’s evolution principles, EC encompasses techniques critical for optimization, learning, and design across various applications.

Throughout this course, participants will gain in-depth knowledge on binary and real-coded genetic algorithms, differential evolution, particle swarm optimization, and the fundamentals of multi-objective optimization and evolutionary algorithms. Emphasis will be placed on the statistical assessment of these techniques, illustrating not only how they mimic biological processes but also their practical application in solving complex problems within industry and business.

The curriculum is designed to accommodate hands-on learning, allowing students to construct and explore various EC techniques and their implementations.

Intended Audience:

This course is aimed at final and pre-final year undergraduates, postgraduates, and industry professionals keen on harnessing the power of EC in research and development, particularly in the design and optimization of products and systems. Prerequisites:

A foundational understanding of elementary mathematics and programming is required to maximize the benefits of this program. Industry Support:

Supported by leading R&D industries, this course promises to equip participants with the skills needed for advancement in fields that rely heavily on design and optimization strategies.

Categories:

Computer Science Courses, Engineering Courses.

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Enseigné par

Prof. Deepak Sharma

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