RasID-GA with Simplex Crossover(SPX) for Optimization problems.
DongKyu SohnShingo MabuKotaro HirasawaJinglu HuPublished in: IEEE Congress on Evolutionary Computation (2006)
Keyphrases
- optimization problems
- evolutionary algorithm
- genetic algorithm ga
- genetic algorithm
- fitness function
- crossover operator
- metaheuristic
- genetic operators
- candidate solutions
- multi objective
- evolutionary computation
- simplex search
- simulated annealing
- mutation operator
- initial population
- differential evolution
- genetic programming
- crossover and mutation
- traveling salesman problem
- evolutionary process
- mutation operation
- knapsack problem
- test problems
- mutation rate
- optimization methods
- optimization method
- combinatorial optimization
- simplex algorithm
- benchmark problems
- multi objective optimization
- fitness landscape
- cost function
- differential evolution algorithm
- particle swarm optimization pso
- artificial neural networks
- function optimization
- objective function
- search heuristics
- real coded
- neural network
- premature convergence
- tabu search
- evolution strategy
- hybrid algorithm
- parallel genetic algorithm
- island model
- particle swarm
- genetic search
- hybrid genetic algorithm
- evolution process
- learning classifier systems
- linear programming
- ant colony optimization
- nsga ii
- solution space
- hybrid ga