A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems.
Adriana Lara LopezCarlos A. Coello CoelloOliver SchützePublished in: IEEE Congress on Evolutionary Computation (2010)
Keyphrases
- multi objective
- bi objective
- evolutionary algorithm
- optimization problems
- nsga ii
- multi objective optimization
- differential evolution
- objective function
- combinatorial optimization
- multiple objectives
- optimization algorithm
- multi objective optimization problems
- set covering problem
- multiobjective optimization
- particle swarm optimization
- knapsack problem
- metaheuristic
- hybrid algorithms
- efficient solutions
- benchmark problems
- pareto optimal
- genetic algorithm
- pareto optimal solutions
- particle swarm optimizer
- network design
- multi objective evolutionary algorithms
- cost function
- combinatorial optimization problems
- memetic algorithm
- simulated annealing
- nonlinear optimization problems
- shortest path problem
- traveling salesman problem
- ant colony optimization
- test problems
- optimization methods
- branch and bound algorithm
- fitness function
- search algorithm
- pareto frontier
- optimal solution