GGA: A modified genetic algorithm with gradient-based local search for solving constrained optimization problems.
Gianni D'AngeloFrancesco PalmieriPublished in: Inf. Sci. (2021)
Keyphrases
- genetic algorithm
- harmony search
- global search
- tabu search
- job shop scheduling problem
- simulated annealing
- fitness function
- evolutionary algorithm
- multi objective
- hybrid ga
- metaheuristic
- neural network
- artificial neural networks
- memetic algorithm
- constrained multi objective optimization problems
- explore the search space
- multi population
- evolutionary search
- search algorithm
- search procedure
- evolutionary computation
- benchmark problems
- crossover and mutation
- encoding scheme
- simulated annealing algorithm
- genetic operators
- hybrid genetic algorithm
- genetic search
- hill climbing
- combinatorial optimization
- systematic search
- parallel genetic algorithm
- genetic algorithm ga
- ant colony optimization
- simulated annealing and tabu search
- search space