Function evaluations upto 1e+12 and large population sizes assessed in distance-based success history differential evolution for 100-digit challenge and numerical optimization scenarios (DISHchain 1e+12): a competition entry for "100-digit challenge, and four other numerical optimization competitions" at the genetic and evolutionary computation conference (CECCO) 2019.
Ales ZamudaPublished in: GECCO (Companion) (2019)
Keyphrases
- test functions
- numerical optimization
- differential evolution
- evolutionary computation
- evolutionary algorithm
- mutation operator
- numerical optimization problems
- genetic algorithm
- artificial bee colony
- optimization algorithm
- convergence speed
- evolution strategy
- differential evolution algorithm
- evolutionary strategy
- particle swarm optimization
- fitness landscape
- initial population
- computational intelligence
- swarm intelligence
- optimization method
- premature convergence
- estimation of distribution algorithms
- hybrid algorithm
- particle swarm optimization pso
- pso algorithm
- solution space
- fuzzy systems
- fitness function
- multi objective optimization
- genetic programming
- test problems
- optimization problems
- parameter optimization
- crossover operator
- particle swarm optimization algorithm
- artificial intelligence
- fuzzy logic
- biogeography based optimization
- soft computing
- artificial immune system
- multi objective
- multi objective evolutionary algorithms
- reinforcement learning
- machine learning