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Mathematical optimization

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Mathematical optimization

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Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.

Fluorescent Protein Stability Assessment

Covers protein stability assessment using RFP and GFP, flow cytometry, mutagenesis, calcium reporters, and CRISPR-Cas9 experiments.

Deep Generative Models in Drug Discovery

Explores the application of deep generative models in drug discovery, focusing on designing small molecules and optimizing molecular structures.

Design Optimization: Principles and Applications

Covers design optimization principles, virtual prototypes, multi-objective optimization, and challenges in the field.

Optimization in Engineering

Explores optimization techniques in engineering for solving complex problems efficiently.

Optimization and Simulation: Simulated Annealing

Explores simulated annealing for optimization, emphasizing parameter tuning and diversification to escape local minima.

Optimization Methods in Machine Learning

Explores optimization methods in machine learning, emphasizing gradients, costs, and computational efforts for efficient model training.

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Chemical Reaction Optimization: Multi-Task Learning

Explores multi-task learning for accelerated chemical reaction optimization, showcasing challenges, automated workflows, and optimization algorithms.

Design Definition and Multidisciplinary Optimization

Explores design solution definition, multidisciplinary optimization, and challenges in system design optimization, including the roots and motivation behind Multidisciplinary Design Optimization.