On a Feasible-Infeasible Two-Population (FI-2Pop) genetic algorithm for constrained optimization: Distance tracing and no free lunch.
Steven Orla KimbroughGary J. KoehlerMing LuDavid Harlan WoodPublished in: Eur. J. Oper. Res. (2008)
Keyphrases
- constrained optimization
- genetic algorithm
- evolutionary strategy
- infeasible solutions
- constraint handling
- penalty function
- selection operator
- population size
- multi population
- multidimensional knapsack problem
- constrained optimization problems
- mutation operator
- objective function
- unconstrained optimization
- interval analysis
- population diversity
- evolutionary algorithm
- initial population
- differential evolution
- penalty functions
- neural network
- feasible solution
- augmented lagrangian
- lagrange multiplier method
- inequality constraints
- iterative methods
- evolutionary optimization
- lagrange multipliers
- multi objective
- fitness function
- evolutionary computation
- stationary points
- artificial neural networks
- tabu search
- evolution strategy
- computationally expensive
- genetic algorithm ga