Signal sources localization using GA preserving genetic diversity based on fitness values.
Shudai IshikawaKeiichi HorioYoshiaki UedaRyosuke KubotaTakeshi YamakawaPublished in: ISPACS (2013)
Keyphrases
- fitness values
- genetic algorithm ga
- fitness landscape
- premature convergence
- genetic algorithm
- population diversity
- evolutionary algorithm
- mutation operator
- crossover and mutation
- convergence speed
- differential evolution
- fitness function
- particle swarm optimization
- hybrid algorithm
- particle swarm optimization pso
- simulated annealing
- genetic operators
- crossover operator
- signal strength
- solution quality
- particle swarm
- evolutionary computation
- search capabilities
- genetic search
- pso algorithm
- search efficiency
- parameter settings
- particle swarm optimization algorithm
- multi objective
- global search
- genetic programming
- particle swarm optimizer
- neural network
- evolutionary search
- artificial neural networks
- evolutionary strategy
- tabu search
- computational intelligence
- fuzzy logic