Optimizing Ontology Alignments through NSGA-II without Using Reference Alignment.
Xingsi XueYuping WangWeichen HaoJuan HouPublished in: Comput. Informatics (2014)
Keyphrases
- nsga ii
- multi objective
- multi objective optimization
- test problems
- evolutionary algorithm
- multiobjective optimization
- pareto optimal
- multiple sequence alignment
- global alignment
- sequence alignment
- multiobjective evolutionary algorithm
- evolutionary multiobjective
- optimization problems
- ontology matching
- evolutionary multiobjective optimization
- multi objective evolutionary algorithms
- optimization algorithm
- multi objective differential evolution
- genetic algorithm
- optimal solution
- test functions
- multiple alignment
- ontology merging
- semantic web
- multi objective optimization problems
- differential evolution
- particle swarm optimization
- bi objective
- knapsack problem
- uniform design
- fitness function
- pareto optimal solutions
- multiple sequence alignments
- constrained multi objective optimization problems
- sentence pairs
- crossover operator
- protein sequences
- multi objective optimisation
- branch and bound algorithm
- pareto dominance
- linear programming
- tabu search
- evolutionary computation
- pareto frontier
- objective function
- computational complexity
- special case
- metaheuristic
- genetic algorithm ga
- solution quality
- benchmark problems
- neural network