Structured mutation inspired by evolutionary theory enriches population performance and diversity.
Stefano TisoPedro CarvalhoNuno LourençoPenousal MachadoPublished in: CoRR (2023)
Keyphrases
- evolutionary process
- natural selection
- genetic algorithm
- evolutionary algorithm
- evolutionary computation
- population size
- mutation operator
- mutation rate
- population diversity
- premature convergence
- differential evolution
- fitness function
- theoretical framework
- evolutionary programming
- evolutionary strategy
- close relation
- evolutionary game theory
- data sets
- computational intelligence
- multi objective
- real world
- candidate solutions
- theoretical basis
- crossover operator
- evolution process
- particle swarm optimization
- evolutionary search
- optimization problems
- population dynamics