A genetic algorithm with neural network fitness function evaluation for IMRT beam angle optimization.
Joana Matos DiasHumberto RochaBrigida Costa FerreiraMaria do Carmo LopesPublished in: Central Eur. J. Oper. Res. (2014)
Keyphrases
- fitness function
- genetic algorithm
- fitness evaluation
- neural network
- genetic programming
- genetic algorithm ga
- evolutionary algorithm
- real coded
- evolutionary search
- evolutionary computation
- optimization method
- genetic operators
- particle swarm
- evolutionary strategy
- optimization problems
- candidate solutions
- multiple objectives
- multi objective
- artificial neural networks
- crossover and mutation
- crossover operator
- global search
- search space
- genetic algorithm is employed
- constrained optimization problems
- penalty function
- evolution strategy
- mutation operator
- evolutionary process
- multi objective evolutionary algorithms
- fuzzy logic
- optimization algorithm
- evolutionary computing
- genetic search
- nsga ii
- ant colony optimization
- binary particle swarm optimization
- mutation rate
- simulated annealing
- particle swarm optimization
- metaheuristic
- multi objective optimization
- premature convergence