ECJ+HADOOP: An Easy Way to Deploy Massive Runs of Evolutionary Algorithms.
Francisco Chávez de la OFrancisco FernándezCésar Benavides-ÁlvarezDaniel LanzaJuan Villegas-CortézLeonardo TrujilloGustavo OlagueGraciela Román-AlonsoPublished in: EvoApplications (2) (2016)
Keyphrases
- evolutionary algorithm
- multi objective
- evolutionary computation
- optimization problems
- differential evolution
- open source
- genetic programming
- simulated annealing
- differential evolution algorithm
- evolutionary search
- mutation operator
- multi objective optimization
- cloud computing
- massive scale
- data analysis
- distributed systems
- big data
- evolutionary process
- evolutionary strategy
- evolutionary artificial neural networks
- evolution strategy
- data intensive
- distributed computing
- genetic algorithm
- hyper heuristics
- constrained optimization problems
- machine learning
- evolutionary methods
- data rich
- real world
- databases