Improved crossover and mutation operators for Genetic-Algorithm project scheduling.
Mohammad A. AbidoAshraf ElazouniPublished in: IEEE Congress on Evolutionary Computation (2009)
Keyphrases
- crossover and mutation operators
- project scheduling
- genetic algorithm
- crossover operator
- binary representation
- genetic algorithm ga
- crossover and mutation
- mutation operator
- resource constrained project scheduling problem
- genetic operators
- resource constraints
- fitness function
- neural network
- evolutionary computation
- evolutionary algorithm
- artificial neural networks
- genetic programming
- memetic algorithm
- non binary
- estimation of distribution algorithms
- fuzzy logic
- hybrid algorithm
- particle swarm optimization pso
- genetic search
- metaheuristic
- multi objective
- search space