Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA.
Steven Orla KimbroughMing LuDavid Harlan WoodPublished in: PPSN (2004)
Keyphrases
- infeasible solutions
- genetic algorithm
- evolutionary process
- feasible solution
- benchmark problems
- natural selection
- mutation rate
- population size
- multidimensional knapsack problem
- fitness landscape
- evolutionary computation
- evolutionary algorithm
- genetic algorithm ga
- evolution strategy
- fitness function
- test problems
- evolutionary methods
- evolutionary computing
- initial population
- population dynamics
- objective function
- evolutionary strategy
- nsga ii
- evolutionary search
- multi objective
- mutation operator
- linear programming
- evolutionary optimization
- evolution process
- crossover and mutation
- particle swarm optimization
- fuzzy logic
- implementation details
- ant colony optimization
- metaheuristic
- computationally expensive
- genetic programming
- tabu search
- optimization problems
- search space
- multi objective optimization
- simulated annealing
- differential evolution
- neural network
- optimization method
- swarm intelligence
- genetic search
- genetic operators
- crossover operator
- binary strings
- fitness evaluation
- hybrid ga