Hybrid Evolutionary Algorithm with Adaptive Crossover, Mutation and Simulated Annealing Processes to Project Scheduling.
Virginia YannibelliAnalía AmandiPublished in: IDEAL (2015)
Keyphrases
- evolutionary algorithm
- hybrid evolutionary algorithm
- simulated annealing
- project scheduling
- genetic algorithm
- genetic algorithm ga
- differential evolution
- multi objective
- multi objective optimization
- mutation operator
- crossover operator
- metaheuristic
- evolutionary computation
- benchmark problems
- tabu search
- optimization problems
- simulated annealing algorithm
- genetic programming
- solution quality
- fitness function
- optimization method
- immune clonal
- hybrid algorithm
- global optimum
- search procedure
- optimization algorithm
- solution space
- mutation rate
- combinatorial optimization
- particle swarm optimization pso
- resource constrained project scheduling problem
- crossover and mutation
- resource constraints
- premature convergence
- hill climbing
- convergence speed
- candidate solutions
- job shop scheduling problem
- objective function