Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem.
Masaru TezukaMasaharu MunetomoKiyoshi AkamaMasahiro HijiPublished in: IEEE Congress on Evolutionary Computation (2006)
Keyphrases
- fitness function
- genetic algorithm
- genetic programming
- fitness evaluation
- evolutionary algorithm
- genetic algorithm ga
- real coded
- genetic algorithm is applied
- evolutionary search
- optimization method
- particle swarm
- evolutionary computation
- optimization problems
- candidate solutions
- genetic operators
- penalty function
- multiple objectives
- evolutionary strategy
- crossover and mutation
- genetic algorithm is employed
- crossover operator
- multi objective
- evolution strategy
- optimization algorithm
- multi objective evolutionary algorithms
- evolutionary process
- global search
- search space
- neural network
- binary particle swarm optimization
- constrained optimization problems
- fuzzy logic
- initial population
- metaheuristic
- mutation operator
- feature selection
- optimization process
- simulated annealing
- global convergence
- optimization methods
- scheduling problem
- job shop scheduling problem
- mutation rate
- multi objective optimization
- search algorithm