Optimal design of energy-efficient ATO CBTC driving for metro lines based on NSGA-II with fuzzy parameters.
William Carvajal-CarreñoAsunción Paloma Cucala GarcíaAntonio Fernández-CardadorPublished in: Eng. Appl. Artif. Intell. (2014)
Keyphrases
- optimal design
- energy efficient
- nsga ii
- multi objective
- wireless sensor networks
- sensor networks
- energy consumption
- multi objective optimization
- evolutionary algorithm
- multiobjective optimization
- pareto optimal
- test problems
- multiobjective evolutionary algorithm
- pareto dominance
- base station
- optimal solution
- evolutionary multiobjective optimization
- evolutionary multiobjective
- fitness function
- optimization algorithm
- energy efficiency
- multi criteria
- multi objective evolutionary algorithms
- multi objective differential evolution
- multi core architecture
- optimization problems
- routing protocol
- fuzzy logic
- min max
- crossover operator
- bi objective
- data center
- power consumption
- mobile phone
- data streams