Light beam search based multi-objective optimization using evolutionary algorithms.
Kalyanmoy DebAbhay KumarPublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- multi objective optimization
- beam search
- evolutionary algorithm
- multi objective
- search algorithm
- differential evolution
- optimization problems
- branch and bound
- heuristic search
- search methods
- evolutionary computation
- nsga ii
- search problems
- genetic programming
- multi objective optimization problems
- fitness function
- differential evolution algorithm
- simulated annealing
- genetic algorithm
- genetic operators
- pareto optimal
- multiple objectives
- evolutionary strategy
- hill climbing
- solving multi objective optimization problems
- multi objective genetic algorithm
- multi objective problems
- bi objective
- production planning and scheduling
- genetic algorithm ga
- ranking functions
- evolution strategy
- pareto optimal set
- multi objective evolutionary algorithms
- search strategies
- multi objective genetic algorithms
- upper bound
- constrained multi objective optimization problems
- metaheuristic
- orders of magnitude
- artificial neural networks
- multiobjective optimization
- state space
- crossover operator