Testing the Intermediate Disturbance Hypothesis: Effect of Asynchronous Population Incorporation on Multi-Deme Evolutionary Algorithms.
Juan Julián Merelo GuervósAntonio Miguel MoraPedro A. CastilloJuan Luis Jiménez LaredoLourdes AraujoKen SharmanAnna Esparcia-AlcázarEva Alfaro-CidCarlos CottaPublished in: PPSN (2008)
Keyphrases
- evolutionary algorithm
- mutation operator
- population diversity
- evolutionary computation
- initial population
- evolutionary process
- multi objective
- optimization problems
- evolution process
- differential evolution
- genetic programming
- fitness landscape
- fitness function
- differential evolution algorithm
- simulated annealing
- multi objective optimization
- evolution strategy
- genetic algorithm
- evolutionary strategy
- island model
- estimation of distribution algorithms
- data sets
- hyper heuristics
- evolutionary search
- asynchronous communication
- fitness sharing
- artificial intelligence
- genetic operators
- population size
- hybrid algorithm
- content analysis
- genetic algorithm ga
- cost function
- search space
- artificial neural networks
- search algorithm
- case study