Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm.
Karthik SindhyaKalyanmoy DebKaisa MiettinenPublished in: Nat. Comput. (2011)
Keyphrases
- hybrid algorithm
- evolutionary multi objective optimization
- tabu search
- simulated annealing
- genetic algorithm
- multi objective
- optimal solution
- particle swarm optimization
- global convergence
- global search
- initial solution
- hybrid algorithms
- convergence speed
- differential evolution
- tabu list
- search algorithm
- ant colony optimization
- standard test problems
- hybrid method
- premature convergence
- artificial bee colony algorithm
- metaheuristic
- hybrid optimization algorithm
- job shop scheduling problem
- particle swarm optimization pso
- ant algorithm
- initial population
- search procedure
- search space
- combinatorial optimization
- imperialist competitive algorithm
- population diversity
- scheduling problem
- particle swarm
- convergence rate
- search strategies
- lower bound
- nonlinear integer programming
- population based incremental learning
- particle swarm algorithm
- pso algorithm
- ant colony optimization algorithm
- benchmark problems
- global optimum
- faster convergence
- neural network
- hill climbing