Hybridisation of Evolutionary Algorithms for Solving Multi-Objective Simulation Optimisation Problems.
Liana NapalkovaPublished in: Sci. J. Riga Tech. Univ. Ser. Comput. Sci. (2009)
Keyphrases
- evolutionary algorithm
- multi objective
- optimisation problems
- evolutionary computation
- particle swarm
- constraint problems
- optimisation algorithm
- multi objective optimization
- optimization problems
- optimization algorithm
- differential evolution
- simulated annealing
- particle swarm optimisation
- benchmark problems
- particle swarm optimization
- fitness function
- genetic programming
- multiple objectives
- differential evolution algorithm
- nsga ii
- ant colony optimisation
- optimization method
- multiobjective optimization
- genetic algorithm
- evolutionary process
- solving multi objective optimization problems
- mutation operator
- swarm intelligence
- evolution strategy
- crossover operator
- test functions
- multi objective problems
- combinatorial optimization
- tabu search
- search capabilities
- global optimization
- multi objective optimization problems
- fuzzy logic
- mathematical model