A comparison of particle swarm optimization and genetic algorithms for a multi-objective Type-2 fuzzy logic based system for the optimal allocation of mobile field engineers.
Andrew StarkeyHani HagrasSiddhartha ShakyaGilbert OwusuPublished in: CEC (2016)
Keyphrases
- multi objective
- particle swarm optimization
- optimal allocation
- genetic algorithm
- evolutionary algorithm
- pso algorithm
- multi objective optimization
- optimization algorithm
- particle swarm optimization pso
- particle swarm
- graduate students
- multiple objectives
- particle swarm optimization algorithm
- swarm intelligence
- pareto optimal
- fuzzy logic
- global optimization
- social welfare
- objective function
- multi objective problems
- differential evolution
- fitness function
- resource allocation
- metaheuristic
- computational intelligence
- multi objective genetic algorithms
- multi objective optimization problems
- nsga ii
- evolutionary computation
- mobile devices
- artificial neural networks
- optimization method
- ant colony optimization
- neural network
- genetic programming
- simulated annealing
- lower bound