Multi-objective Optimization at the Conceptual Design Phase of an Office Room Through Evolutionary Computation.
Ayca KirimtatOndrej KrejcarPublished in: IEA/AIE (2018)
Keyphrases
- evolutionary computation
- multi objective optimization
- evolutionary algorithm
- multi objective
- genetic algorithm
- differential evolution
- genetic programming
- machine learning and data mining
- optimization problems
- fitness function
- multiple objectives
- nsga ii
- fuzzy systems
- multi objective optimization problems
- bi objective
- pareto optimal
- cooperative coevolution
- swarm intelligence
- test functions
- computational intelligence
- simulated annealing
- evolution strategy
- multi objective genetic algorithm
- mutation operator
- evolutionary approaches
- optimisation problems
- crossover and mutation
- genetic operators
- optimization method
- estimation of distribution algorithms
- evolutionary strategy
- crossover operator
- pareto optimal set
- multiobjective optimization
- optimization algorithm
- fitness landscape
- nature inspired algorithms
- multi objective evolutionary algorithms
- continuous domains
- artificial intelligence
- neural network
- artificial neural networks
- cost function
- convergence speed
- hybrid algorithm