Improving Search Efficiency and Diversity of Solutions in Multiobjective Binary Optimization by Using Metaheuristics Plus Integer Linear Programming.
Miguel Ángel Domínguez-RíosFrancisco ChicanoEnrique AlbaPublished in: EvoApplications (2021)
Keyphrases
- search efficiency
- multi objective
- integer linear programming
- multi objective evolutionary algorithms
- pareto optimal solutions
- conflicting objectives
- population diversity
- optimization algorithm
- multiple objectives
- particle swarm optimization
- evolutionary algorithm
- uniform design
- optimization problems
- multiobjective optimization
- search capabilities
- genetic algorithm
- column generation
- optimization method
- multi objective optimization
- nsga ii
- bi objective
- pareto optimal
- evolutionary multiobjective
- metaheuristic
- optimal solution
- objective function
- particle swarm
- evolutionary strategy
- benchmark problems
- simulated annealing
- differential evolution
- combinatorial optimization
- solution space
- efficient solutions
- cutting plane
- boolean satisfiability
- constrained optimization
- constraint programming
- feasible solution
- fitness function
- np hard
- combinatorial problems
- global constraints