PEAR: a massively parallel evolutionary computation approach for political redistricting optimization and analysis.
Yan Y. LiuWendy K. Tam ChoShaowen WangPublished in: Swarm Evol. Comput. (2016)
Keyphrases
- evolutionary computation
- massively parallel
- evolutionary algorithm
- genetic programming
- computational intelligence
- machine learning and data mining
- genetic algorithm
- optimization problems
- fitness function
- estimation of distribution algorithms
- multi objective
- fine grained
- evolution strategy
- nature inspired algorithms
- fuzzy logic
- cooperative coevolution
- evolutionary design
- data analysis
- parallel computing
- global optimization
- optimization algorithm
- differential evolution
- search algorithm
- high performance computing
- reinforcement learning
- evolutionary strategy
- artificial life
- expert systems
- neural network