Biologically inspired non-mendelian repair for constraint handling in evolutionary algorithms.
Amy FitzGeraldDiarmuid P. O'DonoghuePublished in: GECCO (Companion) (2010)
Keyphrases
- biologically inspired
- constraint handling
- evolutionary algorithm
- constrained optimization problems
- evolution strategy
- differential evolution
- genetic algorithm
- optimization problems
- multi objective
- evolutionary strategy
- evolutionary computation
- fitness function
- receptive fields
- simulated annealing
- particle swarm optimization
- biologically plausible
- learning rules
- differential evolution algorithm
- constrained optimization
- crossover operator
- mutation operator
- multi objective optimization
- evolutionary optimization
- spiking neural networks
- test functions
- biological systems
- optimization method
- genetic programming
- premature convergence
- potential field
- penalty function
- particle swarm
- convergence speed
- colour image segmentation
- particle swarm optimisation
- cost function