Theory of Genetic Algorithms II: models for genetic operators over the string-tensor representation of populations and convergence to global optima for arbitrary fitness function under scaling.
Lothar M. SchmittPublished in: Theor. Comput. Sci. (2004)
Keyphrases
- fitness function
- genetic operators
- genetic algorithm
- evolutionary algorithm
- genetic programming
- genetic algorithm ga
- natural selection
- global optima
- crossover and mutation
- crossover operator
- evolutionary computation
- evolutionary process
- mutation operator
- premature convergence
- optimization problems
- genetic search
- multi objective
- initial population
- global search
- particle swarm optimisation
- function optimization
- search space
- convergence speed
- genetic algorithm is employed
- multi objective optimization
- simulated annealing
- particle swarm
- evolution strategy
- job shop scheduling problem
- differential evolution
- artificial neural networks
- penalty function
- global optimization
- branch and bound
- optimization method
- search algorithm
- objective function