Category
Metaheuristics
Related lectures (141)
Heuristic Optimization Methods
Explores heuristic optimization methods to find the global optimum efficiently.
Computational Aspects of OptimizationMOOC: Simulation Neurocience
Explores optimization in neuron modeling, addressing underconstrained parameters, fitness functions, and successful fitting of firing patterns.
Optimization Techniques: Local Search, VNS, Simulated Annealing
Explores optimization techniques like local search, VNS, and simulated annealing.
Tools for Constraining Neuron ModelsMOOC: Simulation Neurocience
Covers tools for constraining neuron models using eFEL and BluePyOpt.
Constraint Satisfaction: Formulation and Algorithms
Covers the formulation of constraint satisfaction problems and systematic algorithms for solving them efficiently.
Bio-Inspired Learning: Neural Networks, Genetic Algorithms
Explores bio-inspired learning with neural networks and genetic algorithms, covering structure, training, and practical applications.
Optimising Neuron Models: eFEL and BluePyOptMOOC: Selected chapters form winterschool on multi-scale brain
Introduces eFEL and BluePyOpt for optimizing neuron models with experimental data, using evolutionary algorithms.
Ant Colony Optimization: Routing and Optimization
Explores Ant Colony Optimization (ACO) for routing and optimization, discussing constructive heuristics, local search, pheromone mechanisms, and real-world applications.
Distributed Intelligent Systems: General Logistics and Course Overview
Covers the general logistics, course rationale, prerequisites, organization, credits, workload, grading, and course content, including swarm intelligence, foraging strategies, and collective phenomena.
Multi-Criteria Decisions: Pareto Optimization Techniques
Delves into Pareto optimization techniques for generating system configurations and making decisions efficiently.