A Hybrid Evolutionary Algorithm with Heuristic Mutation for Multi-objective Bi-clustering.
Slim BechikhMaha ElarbiChih-Cheng HungSabrine HamdiLamjed Ben SaidPublished in: CEC (2019)
Keyphrases
- multi objective
- evolutionary algorithm
- genetic algorithm
- multi objective optimization
- clustering algorithm
- clustering method
- optimization algorithm
- k means
- fitness function
- multiple objectives
- simulated annealing
- differential evolution
- particle swarm optimization
- nsga ii
- information theoretic
- cluster analysis
- multiobjective optimization
- optimal solution
- objective function
- categorical data
- bi objective
- conflicting objectives
- simulated annealing and tabu search
- self organizing maps
- business intelligence
- case study
- optimization problems
- neural network
- search algorithm
- packing problem
- data mining
- multi objective evolutionary
- population size
- candidate solutions
- multi objective evolutionary algorithms
- evolutionary process
- lower bound
- high dimensional
- dynamic programming
- linear programming
- hierarchical clustering
- data clustering
- traveling salesman problem
- combinatorial optimization