GA performance distributions and randomly generated binary constraint satisfaction problems.
Bart NaudtsLuk SchoofsPublished in: Theor. Comput. Sci. (2002)
Keyphrases
- randomly generated
- genetic algorithm ga
- np complete
- genetic algorithm
- branch and bound algorithm
- boolean functions
- simulated annealing
- fitness function
- probability distribution
- integer programming formulation
- multi objective
- np hard
- phase transition
- metaheuristic
- evolutionary algorithm
- neural network
- stochastic local search
- job shop scheduling problem
- joint distribution
- search algorithm
- artificial neural networks
- hybrid algorithm
- upper bound
- ant colony optimization
- random variables
- scheduling problem
- genetic programming