Tutorial III: Solving complex optimization problems

This talk provides a complete background on efficient optimization algorithms and presents in a unified view the main design questions for all families of algorithms and clearly illustrates how to solve complex optimization problems in smart grids, networks, logistics and transportation, data mining. The key search components of metaheuristics are considered as a toolbox for: Designing efficient optimization algorithms (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems · Designing efficient algorithms for multi-objective optimization problems • Solving complex optimization problems in smart grids, networks, transportation and data mining.