Extending MOEA/D to Constrained Multi-objective Optimization via Making Constraints an Objective Function.
Yusuke YasudaKenichi TamuraKeiichiro YasudaPublished in: GECCO Companion (2023)
Keyphrases
- multi objective optimization
- multi objective
- objective function
- evolutionary algorithm
- lagrange multipliers
- constrained optimization
- nsga ii
- multiple objectives
- optimization problems
- constrained problems
- optimization algorithm
- multi objective evolutionary algorithms
- multi objective optimization problems
- genetic algorithm
- decision variables
- pareto dominance
- pareto optimal solutions
- penalty function
- bi objective
- pareto optimal
- optimal solution
- constraint satisfaction
- pareto set
- differential evolution
- multi objective genetic algorithms
- lower bound
- complex optimization problems
- particle swarm optimization
- multiobjective evolutionary algorithm
- cost function
- linear programming
- multiobjective optimization
- neural network
- uniform design
- pareto frontier
- multi objective optimisation
- greedy algorithm
- multi objective problems
- multi objective genetic algorithm
- optimum design
- genetic programming
- evolutionary computation
- soft constraints
- multi criteria