Solving engineering optimization problems using an improved real-coded genetic algorithm (IRGA) with directional mutation and crossover.
Amit Kumar DasDilip Kumar PratiharPublished in: Soft Comput. (2021)
Keyphrases
- real coded
- genetic algorithm
- evolutionary algorithm
- optimization problems
- differential evolution
- genetic algorithm ga
- fitness function
- mutation operator
- metaheuristic
- combinatorial optimization
- simulated annealing
- multi objective
- crossover operator
- evolutionary computation
- candidate solutions
- differential evolution algorithm
- convergence speed
- function optimization problems
- optimization method
- genetic operators
- nonlinear optimization problems
- genetic programming
- cost function
- initial population
- fuzzy logic
- multi objective optimization
- particle swarm optimization
- particle swarm optimization pso
- crossover and mutation
- premature convergence
- optimization algorithm
- tabu search
- population size
- function optimization
- test problems
- benchmark problems
- hybrid algorithm
- evolutionary process
- artificial neural networks
- nsga ii
- optimization methods
- penalty function
- fuzzy clustering
- traveling salesman problem
- data analysis
- neural network