Application of the Non-Linear Optimization Algorithm Differential Evolution for Optimization of Manufacturing Systems Regarding Their Energy Efficiency.
Matthias MeißnerChristian RehtanzJohanna M. A. MyrzikPublished in: WSC (2019)
Keyphrases
- optimization algorithm
- differential evolution
- manufacturing systems
- energy efficiency
- optimization method
- multi objective
- particle swarm optimization pso
- convergence speed
- differential evolution algorithm
- evolution strategy
- energy consumption
- evolutionary multi objective
- power consumption
- evolutionary strategy
- premature convergence
- mutation operator
- sensor networks
- artificial bee colony
- parameter optimization
- hybrid optimization algorithm
- wireless sensor networks
- hybrid algorithm
- particle swarm
- multi objective optimization
- real coded
- crossover operator
- complex systems
- global optimization problems
- harmony search
- genetic algorithm
- evolutionary algorithm
- control parameters
- multiple objectives
- routing protocol
- particle swarm optimization
- response time
- multi agent
- neural network
- solving global optimization problems