A multi-objective formulation for the team formation problem using Krippendorff's disagreement and sociometric cohesion with Pareto-solutions obtained via evolutionary algorithms.
André Luiz Netto CasottiRenato A. KrohlingPublished in: Comput. Oper. Res. (2024)
Keyphrases
- multi objective
- evolutionary algorithm
- multi objective optimization
- multi objective optimization problems
- team formation
- multiple objectives
- conflicting objectives
- pareto optimal
- pareto optimal solutions
- pareto set
- optimization algorithm
- multiobjective optimization
- bi objective
- optimization problems
- evolutionary computation
- genetic operators
- differential evolution
- nsga ii
- hyper heuristics
- multi objective problems
- fitness function
- multi objective evolutionary algorithms
- particle swarm optimization
- engineering design problems
- pareto optimal set
- multiobjective evolutionary algorithms
- simulated annealing
- genetic programming
- pareto frontier
- genetic algorithm
- differential evolution algorithm
- evolution strategy
- evolutionary search
- initial population
- trade off
- optimum design
- multiobjective evolutionary algorithm
- particle swarm
- solution space
- benchmark problems
- multi objective evolutionary
- multi objective genetic algorithms
- evolutionary methods
- optimal solution
- solution quality
- crossover operator
- strength pareto evolutionary algorithm
- machine learning