Empirical Study of Multi-objective Ant Colony Optimization to Software Project Scheduling Problems.
Jing XiaoMei-Ling GaoMin-Mei HuangPublished in: GECCO (2015)
Keyphrases
- empirical studies
- ant colony optimization
- software projects
- multi objective
- scheduling problem
- particle swarm optimization
- genetic algorithm
- metaheuristic
- evolutionary algorithm
- source code
- flowshop
- swarm intelligence
- software development
- project management
- single machine
- software engineering
- combinatorial optimization problems
- bi objective
- multi objective optimization
- job shop scheduling problem
- ant colony
- optimization algorithm
- multiple objectives
- traveling salesman problem
- software project management
- development process
- tabu search
- processing times
- particle swarm optimization pso
- aco algorithm
- ant colony optimization algorithm
- aco algorithms
- software development effort
- np hard
- effort estimation
- nature inspired
- optimization problems
- software systems
- ant colony algorithm
- objective function
- ant colonies
- artificial ants
- differential evolution
- software development projects
- neural network
- evolutionary computation
- project managers
- pheromone trails
- risk management
- nsga ii
- search space
- fitness function
- metaheuristic algorithms
- simulated annealing