Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms.
Thomas GaborLenz BelznerThomy PhanKyrill SchmidPublished in: ICAC (2018)
Keyphrases
- evolutionary algorithm
- population diversity
- optimization problems
- multi objective
- differential evolution
- evolutionary process
- differential evolution algorithm
- multi objective optimization
- evolutionary computation
- fitness function
- genetic programming
- genetic algorithm
- simulated annealing
- heuristic search
- planning problems
- goal oriented
- mutation operator
- premature convergence
- multi objective evolutionary algorithms
- ai planning
- evolution strategy
- planning systems
- convergence speed
- evolvable hardware
- mixed initiative
- production planning
- crossover operator
- fault tolerance
- search engine
- learning algorithm