Vector GA: a novel enhancement of genetic algorithms for efficient multi-variable or multi-dimensional search.
Indrajit BhattacharyyaAnup Kumar BandypopadhyayBhaskar GuptaAloknath ChattopadhyayRajeswari ChattopadhyayKiyotoshi YasumotoPublished in: ACM SIGSOFT Softw. Eng. Notes (2009)
Keyphrases
- genetic algorithm
- multi dimensional
- genetic search
- random search
- genetic algorithm ga
- search capabilities
- evolutionary computation
- neural network
- artificial neural networks
- fitness function
- search heuristics
- search efficiency
- metaheuristic
- search algorithm
- global search
- fuzzy logic
- evolutionary algorithm
- genetic operators
- efficient search
- search strategies
- hybrid ga
- search methods
- tabu search
- image processing
- search space
- feature vectors
- multi objective
- evolutionary computing
- multi objective genetic algorithms
- explore the search space
- parallel genetic algorithm
- evolution process
- simulated annealing
- candidate solutions
- genetic programming
- evolution strategy
- data cube
- function optimization
- initial population
- evolutionary search
- index structure
- similarity search
- crossover operator
- hybrid algorithm
- genetic algorithm is employed