Distributed Multi-objective GA for Generating Comprehensive Pareto Front in Deceptive Optimization Problems.
Shin AndoEinoshin SuzukiPublished in: IEEE Congress on Evolutionary Computation (2006)
Keyphrases
- multi objective
- evolutionary algorithm
- optimization problems
- nsga ii
- multi objective optimization
- objective function
- genetic algorithm
- multi objective optimization problems
- multiobjective optimization
- fitness function
- optimization algorithm
- evolutionary computation
- multiple objectives
- genetic operators
- pareto optimal
- engineering design problems
- particle swarm optimization
- multi objective genetic algorithms
- evolutionary optimization
- differential evolution
- simulated annealing
- genetic algorithm ga
- genetic programming
- crossover operator
- bi objective
- pareto optimal solutions
- conflicting objectives
- optimization method
- metaheuristic
- traveling salesman problem
- cooperative
- evolution strategy
- peer to peer
- distributed systems
- cost function
- benchmark problems
- multi objective problems
- multi agent
- combinatorial optimization
- optimization methods
- multi objective evolutionary
- distributed environment
- multiobjective evolutionary algorithm
- multiagent evolutionary algorithm
- fitness landscape
- multi objective evolutionary algorithms
- particle swarm
- hybrid algorithm
- knapsack problem
- trade off