Hybrid immune algorithm with Lamarckian local search for multi-objective optimization.
Maoguo GongChao LiuLicheng JiaoGang ChengPublished in: Memetic Comput. (2010)
Keyphrases
- multi objective optimization
- immune algorithm
- genetic algorithm
- multi objective
- memetic algorithm
- hybrid evolutionary algorithm
- evolutionary algorithm
- artificial immune system
- constrained multi objective optimization problems
- global search
- differential evolution
- simulated annealing
- multi objective optimization problems
- fitness function
- multiple objectives
- tabu search
- network model
- neural network
- initial population
- evolutionary computation
- nsga ii
- rbf network
- multi objective genetic algorithms
- genetic operators
- fuzzy logic
- optimization method
- crossover operator
- mutation operator
- job shop scheduling problem
- pareto optimal
- ant colony optimization
- bi objective
- search algorithm
- genetic algorithm ga
- support vector regression
- machine learning
- neural network model
- metaheuristic
- artificial neural networks
- particle swarm optimization
- differential evolution algorithm
- multiobjective optimization
- computational efficiency
- fuzzy sets
- optimization problems