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Lecture
Multi-Criteria Decisions: Pareto Optimization Techniques
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Optimization Methods: Theory Discussion
Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.
Optimisation in Energy Systems
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Optimization in Engineering
Explores optimization methods in engineering, covering decision variables, constraints, and various solving techniques.
Computational Aspects of Optimization
Explores optimization in neuron modeling, addressing underconstrained parameters, fitness functions, and successful fitting of firing patterns.
Heuristic Optimization Methods
Explores heuristic optimization methods to find the global optimum efficiently.
Approximation Algorithms
Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.
Energy Systems Optimization
Introduces a course on modeling and optimizing energy systems, emphasizing the importance of informed decision-making and teamwork in addressing energy challenges.
Energy System Modeling: Optimization and Performance Indicators
Explores energy system modeling using optimization techniques and performance indicators.
Cutset Formulation: MST Problem
Explores the cutset formulation for the MST Problem and Gomory Cutting Planes method.
Optimising Neuron Models: eFEL and BluePyOpt
Introduces eFEL and BluePyOpt for optimizing neuron models with experimental data, using evolutionary algorithms.
