A comparative study of common and self-adaptive differential evolution strategies on numerical benchmark problems.
Sotirios K. GoudosKonstantinos B. BaltzisK. AntoniadisZaharias D. ZaharisConstantinos S. HilasPublished in: WCIT (2011)
Keyphrases
- benchmark problems
- evolution strategy
- evolutionary algorithm
- simulated annealing
- optimization problems
- differential evolution
- global search
- optimization methods
- evolutionary programming
- test problems
- genetic algorithm
- job shop scheduling problem
- numerical optimization
- vehicle routing problem
- tabu search
- hard combinatorial optimization problems
- infeasible solutions
- sensitivity analysis
- evolutionary computation
- multi objective optimization
- particle swarm optimization algorithm
- optimisation problems
- multi objective
- vehicle routing problem with time windows
- guided local search
- optimization method
- neural network
- genetic programming
- memetic algorithm
- control parameters
- fitness function