Multi-objective fitness-proportional attraction approach with weights.
Patrick LaackHeiner ZilleSanaz MostaghimPublished in: CEC (2016)
Keyphrases
- multi objective
- evolutionary algorithm
- genetic algorithm
- multi objective optimization
- optimization algorithm
- evolutionary computation
- optimization problems
- fitness function
- objective function
- particle swarm optimization
- multiobjective optimization
- nsga ii
- weighted sum
- genetic programming
- simulated annealing
- evolutionary optimization
- genetic operators
- weighting scheme
- bi objective
- multiple objectives
- particle swarm
- evolution process
- relative importance
- differential evolution
- linear combination
- multi objective problems
- multiobjective evolutionary algorithm
- crossover and mutation
- fitness landscape
- multi objective optimization problems
- pareto optimal
- evolutionary process
- selection operator
- conflicting objectives
- multiagent evolutionary algorithm
- optimum design
- inversely proportional
- multi objective evolutionary algorithms
- swarm intelligence
- cost function
- trade off
- feature selection