Using UML and OCL for representing multiobjective combinatorial optimization problems.
Yönet A. EracarMieczyslaw M. KokarPublished in: J. Intell. Manuf. (2014)
Keyphrases
- combinatorial optimization problems
- multi objective
- optimization problems
- metamodel
- evolutionary algorithm
- uml class diagrams
- uml diagrams
- modeling language
- knapsack problem
- metaheuristic
- combinatorial optimization
- ant colony optimization
- discrete optimization
- multiobjective optimization
- tool support
- sequence diagrams
- particle swarm optimization
- optimization algorithm
- genetic algorithm
- traveling salesman problem
- constraint language
- class diagram
- multiple objectives
- shortest path problem
- nsga ii
- job shop scheduling
- objective function
- continuous optimization problems
- job shop scheduling problem
- software systems
- vehicle routing problem
- multi objective optimization
- object oriented
- estimation of distribution algorithms
- software design
- development process
- life cycle
- software development
- software engineering
- test problems
- tabu search
- test cases
- simulated annealing
- software engineers
- min cost