A crossover that matches diverse parents together in evolutionary algorithms.
Maciej SwiechowskiPublished in: GECCO Companion (2021)
Keyphrases
- evolutionary algorithm
- multi objective
- optimization problems
- crossover operator
- differential evolution
- evolutionary computation
- mutation operator
- genetic programming
- fitness function
- evolution strategy
- multi objective optimization
- simulated annealing
- genetic algorithm
- differential evolution algorithm
- wide variety
- population diversity
- evolutionary strategy
- mutation operation
- mutation rate
- evolvable hardware
- function optimization
- evolutionary process
- constrained optimization problems
- evolution process
- hyper heuristics
- initial population
- optimization method
- multidisciplinary design optimization
- multiobjective evolutionary algorithms
- genetic operators
- optimization algorithm