Constrained, mixed-integer and multi-objective optimisation of building designs by NSGA-II with fitness approximation.
Alexander E. I. BrownleeJonathan A. WrightPublished in: Appl. Soft Comput. (2015)
Keyphrases
- multi objective optimisation
- nsga ii
- mixed integer
- evolutionary algorithm
- optimal solution
- multi objective
- fitness function
- constrained multi objective optimization problems
- multi objective optimization
- genetic algorithm
- pareto optimal
- linear program
- test problems
- optimization problems
- multiobjective optimization
- feasible solution
- test functions
- lot sizing
- differential evolution
- genetic programming
- bi objective
- multi objective evolutionary algorithms
- optimization algorithm
- knapsack problem
- convex hull
- objective function
- lower bound
- branch and bound algorithm
- network design problem
- approximation algorithms
- multiple objectives
- crossover operator
- np hard
- search space
- continuous variables
- genetic algorithm ga
- simulated annealing
- evolutionary computation
- linear programming
- particle swarm optimization
- metaheuristic
- branch and bound
- primal dual
- heuristic methods
- benchmark problems
- tabu search
- learning algorithm