Metaheuristic optimization of multivariate adaptive regression splines for predicting the schedule of software projects.
Ángel Ferreira-SantiagoCuauhtémoc López MartínCornelio Yáñez-MárquezPublished in: Neural Comput. Appl. (2016)
Keyphrases
- metaheuristic
- software projects
- optimization problems
- optimization method
- combinatorial optimization
- multivariate adaptive regression splines
- scatter search
- tabu search
- simulated annealing
- harmony search
- software engineering
- ant colony optimization
- software development
- cost estimation
- source code
- search space
- evolutionary algorithm
- genetic algorithm
- software development effort
- scheduling problem
- project management
- path relinking
- vehicle routing problem
- multi start
- suboptimal solutions
- development process
- software quality
- optimal solution
- iterated local search
- particle swarm optimization
- objective function
- effort estimation
- global optimization
- optimization algorithm
- benchmark instances
- support vector regression
- single machine scheduling problem
- genetic algorithm ga
- variable neighborhood search
- risk management
- search algorithm
- mathematical programming
- nature inspired
- cost function
- job shop scheduling problem